"Impact of 5G Latency and Jitter on TAS Scheduling in a 5G-TSN Network: An Empirical Study", P. Rodriguez-Martin, O. Adamuz-Hinojosa, P. Munoz, J. Caleya-Sanchez, P. Ameigeiras, IEEE Internet of Things Journal, 13 (12), pp. 25671-25688, 2026. DOI: 10.1109/JIOT.2026.3673410

@article{pablorodriitj2026,

  author={Rodriguez-Martin, Pablo and Adamuz-Hinojosa, Oscar and Munoz, Pablo and Caleya-Sanchez, Julia and Ameigeiras, Pablo},
  journal={IEEE Internet of Things Journal},
  title={Impact of 5G Latency and Jitter on TAS Scheduling in a 5G-TSN Network: An Empirical Study},
  year={2026},
  volume={13},
  number={12},
  pages={25671-25688},
  keywords={},
  doi={10.1109/JIOT.2026.3673410},
  impact = {(IF=8.7, Q1)},
  project = {6gchronos|6ginspire}

}

"Flow Prioritization in asynchronous TSN with multiple ATS instances", J. Caleya-Sanchez, J. Prados-Garzon, P. Munoz, J. M. Lopez-Soler, P. Ameigeiras, IEEE Transactions on Mobile Computing, 2025

@article{juliacaleya2025,

  author={Caleya-Sanchez,Julia and Prados-Garzon, Jonathan and Munoz, Pablo and Lopez-Soler, Juan M. and Ameigeiras, Pablo},
  journal={IEEE Transactions on Mobile Computing},
  title={Flow Prioritization in asynchronous TSN with multiple ATS instances},
  year={2025},
  impact = {(IF=9.2, Q1)},
  project = {6gchronos|6ginspire}

}

"Joint Scheduling of IEEE 802.1AS gPTP and Industrial Data Traffic in TSN-6G Networks", P. Munoz, P. Rodriguez-Martin, J. Caleya-Sanchez, J. Prados-Garzon, O. Adamuz-Hinojosa, P. Ameigeiras, IEEE Access, 13, pp. 99842-99862, 2025. DOI: 10.1109/ACCESS.2025.3577021

@article{pabloml2025,

  author={Munoz, Pablo and Rodriguez-Martin, Pablo and Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo},
  journal={IEEE Access},
  title={Joint Scheduling of IEEE 802.1AS gPTP and Industrial Data Traffic in TSN-6G Networks},
  year={2025},
  volume={13},
  number={},
  pages={99842-99862},
  doi={10.1109/ACCESS.2025.3577021},
  impact = {(IF=3.4, Q2)},
  project = {6gchronos|6ginspire}

}

"Unleashing 5G Seamless Integration With TSN for Industry 5.0: Frame Forwarding and QoS Treatment", O. Adamuz-Hinojosa, F. Delgado-Ferro, J. Navarro-Ortiz, P. Munoz, P. Ameigeiras, IEEE Open Journal of the Communications Society, 6, pp. 4874-4884, 2025. DOI: 10.1109/OJCOMS.2025.3574397

@article{11016774,

  author={Adamuz-Hinojosa, Oscar and Delgado-Ferro, Felix and Navarro-Ortiz, Jorge and Munoz, Pablo and Ameigeiras, Pablo},
  journal={IEEE Open Journal of the Communications Society},
  title={Unleashing 5G Seamless Integration With TSN for Industry 5.0: Frame Forwarding and QoS Treatment},
  year={2025},
  volume={6},
  number={},
  pages={4874-4884},
  keywords={5G mobile communication;Quality of service;Delays;Bridges;Ethernet;3GPP;Cloud computing;Job shop scheduling;Fifth Industrial Revolution;Wireless communication;5G;industry 5.0;TSN;QoS;testbed;VxLAN},
  doi={10.1109/OJCOMS.2025.3574397},
  impact = {(IF=6.3, Q1)},
  project = {6gchronos|6ginspire}

}

"Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN", O. Adamuz-Hinojosa, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler, IEEE Access, 12, pp. 39270-39284, 2024. DOI: 10.1109/ACCESS.2024.3377112

@article{10471531,

  author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
  journal={IEEE Access},
  title={Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN},
  year={2024},
  volume={12},
  number={},
  pages={39270-39284},
  keywords={Signal to noise ratio;Computational modeling;Interference;Data models;Probability;Planning;Mathematical models;5G mobile communication;Markov processes;Round robin;Beyond 5G;blocking probability;GBR service;Markov chain;proportional fair;round robin},
  doi={10.1109/ACCESS.2024.3377112},
  impact = {(IF=3.9, Q2)},
  project = {6gchronos|6ginspire}

}

"UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices", O. Adamuz-Hinojosa, P. Ameigeiras, P. Muñoz, J. M. Lopez-Soler, IEEE Transactions on Vehicular Technology, 72 (9), pp. 12124-12138, 2023. DOI: 10.1109/TVT.2023.3266526

@article{2023Adamuz,

  author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Muñoz, Pablo and Lopez-Soler, Juan M.},
  journal={IEEE Transactions on Vehicular Technology},
  title={UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices},
  year={2023},
  volume={72},
  number={9},
  pages={12124-12138},
  doi={10.1109/TVT.2023.3266526},
  impact = {IF=6.8 (Q1)},
  project = {true5g|5gclarity|6gchronos}

}

"Potential-Game-Based 5G RAN Slice Planning for GBR Services", O. Adamuz-Hinojosa, P. Munoz, P. Ameigeiras, J. M. Lopez-Soler, IEEE Access, 11, pp. 4763-4780, 2023. DOI: 10.1109/ACCESS.2023.3236103

@article{10015017,

  author={Adamuz-Hinojosa, Oscar and Munoz, Pablo and Ameigeiras, Pablo and Lopez-Soler, Juan M.},
  journal={IEEE Access},
  title={Potential-Game-Based 5G RAN Slice Planning for GBR Services},
  year={2023},
  volume={11},
  number={},
  pages={4763-4780},
  keywords={Radio access networks;Resource management;Game theory;Radio access networks;Network slicing;Admission control;3GPP;Blocking probability;game theory;GBR services;radio resource allocation;RAN slicing planning},
  doi={10.1109/ACCESS.2023.3236103},
  impact = {(IF=3.9, Q2)},
  project = {6gchronos|true5g|5gclarity}
}

"5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0", L. Chinchilla-Romero, J. Prados-Garzon, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler, Sensors, 22 (1), 2022. DOI: 10.3390/s22010229

Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.

@article{s22010229,

AUTHOR = {Chinchilla-Romero, Lorena and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
TITLE = {5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0},
JOURNAL = {Sensors},
VOLUME = {22},
YEAR = {2022},
NUMBER = {1},
ARTICLE-NUMBER = {229},
URL = {https://www.mdpi.com/1424-8220/22/1/229},
PubMedID = {35009771},
ISSN = {1424-8220},
ABSTRACT = {Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.},
DOI = {10.3390/s22010229},
project={5gclarity|true5g},
impact = {(IF=3.9, Q2)},

}

"5G Non-Public Networks: Standardization, Architectures and Challenges", J. Prados-Garzon, P. Ameigeiras, J. Ordonez-Lucena, P. Munoz, O. Adamuz-Hinojosa, D. Camps-Mur, IEEE Access, 9, pp. 153893-153908, 2021. DOI: 10.1109/ACCESS.2021.3127482

@article{9611236,

   author={Prados-Garzon, Jonathan and Ameigeiras, Pablo and Ordonez-Lucena, Jose and Munoz, Pablo and Adamuz-Hinojosa, Oscar and Camps-Mur, Daniel},
   journal={IEEE Access},
   title="5G Non-Public Networks: Standardization, Architectures and Challenges",
   year={2021},
   month={11},
   volume={9},
   number={},
   pages={153893-153908},
   doi={10.1109/ACCESS.2021.3127482},
   project={5gclarity|true5g},
   impact = {(IF = 3.476, Q2)}

}

"Collision Avoidance Resource Allocation for LoRaWAN", N. Chinchilla-Romero, J. Navarro-Ortiz, P. Munoz, P. Ameigeiras, Sensors, 21 (4), 2021. DOI: 10.3390/s21041218

The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is LoRaWAN. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in LoRaWAN networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard LoRaWAN network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with LoRaWAN traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.

@article{s21041218,

AUTHOR = {Chinchilla-Romero, Natalia and Navarro-Ortiz, Jorge and Munoz, Pablo and Ameigeiras, Pablo},
TITLE = {Collision Avoidance Resource Allocation for {LoRaWAN}},
JOURNAL = {Sensors},
VOLUME = {21},
YEAR = {2021},
month=2,
NUMBER = {4},
ARTICLE-NUMBER = {1218},
ISSN = {1424-8220},
ABSTRACT = {The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is {LoRaWAN}. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in {LoRaWAN} networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard {LoRaWAN} network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with {LoRaWAN} traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.},
DOI = {10.3390/s21041218},
impact = {(IF=3.576, Q2)},
pdf = {https://digibug.ugr.es/handle/10481/67701},
project = {artemis|5gcity|5gclarity}

}

"Transform-Based Multiresolution Decomposition for Degradation Detection in Cellular Networks", S. Fortes, P. Munoz, I. Serrano, R. Barco, Sensors, 20 (19), 2020. DOI: 10.3390/s20195645

Anomaly detection in the performance of the huge number of elements that are part of cellular networks (base stations, core entities, and user equipment) is one of the most time consuming and key activities for supporting failure management procedures and ensuring the required performance of the telecommunication services. This activity originally relied on direct human inspection of cellular metrics (counters, key performance indicators, etc.). Currently, degradation detection procedures have experienced an evolution towards the use of automatic mechanisms of statistical analysis and machine learning. However, pre-existent solutions typically rely on the manual definition of the values to be considered abnormal or on large sets of labeled data, highly reducing their performance in the presence of long-term trends in the metrics or previously unknown patterns of degradation. In this field, the present work proposes a novel application of transform-based analysis, using wavelet transform, for the detection and study of network degradations. The proposed system is tested using cell-level metrics obtained from a real-world LTE cellular network, showing its capabilities to detect and characterize anomalies of different patterns and in the presence of varied temporal trends. This is performed without the need for manually establishing normality thresholds and taking advantage of wavelet transform capabilities to separate the metrics in multiple time-frequency components. Our results show how direct statistical analysis of these components allows for a successful detection of anomalies beyond the capabilities of detection of previous methods.

@article{s20195645,

AUTHOR = {Fortes, Sergio and Munoz, Pablo and Serrano, Inmaculada and Barco, Raquel},
TITLE = {Transform-Based Multiresolution Decomposition for Degradation Detection in Cellular Networks},
JOURNAL = {Sensors},
VOLUME = {20},
YEAR = {2020},
month=10,
NUMBER = {19},
ARTICLE-NUMBER = {5645},
URL = {https://www.mdpi.com/1424-8220/20/19/5645},
ISSN = {1424-8220},
ABSTRACT = {Anomaly detection in the performance of the huge number of elements that are part of cellular networks (base stations, core entities, and user equipment) is one of the most time consuming and key activities for supporting failure management procedures and ensuring the required performance of the telecommunication services. This activity originally relied on direct human inspection of cellular metrics (counters, key performance indicators, etc.). Currently, degradation detection procedures have experienced an evolution towards the use of automatic mechanisms of statistical analysis and machine learning. However, pre-existent solutions typically rely on the manual definition of the values to be considered abnormal or on large sets of labeled data, highly reducing their performance in the presence of long-term trends in the metrics or previously unknown patterns of degradation. In this field, the present work proposes a novel application of transform-based analysis, using wavelet transform, for the detection and study of network degradations. The proposed system is tested using cell-level metrics obtained from a real-world LTE cellular network, showing its capabilities to detect and characterize anomalies of different patterns and in the presence of varied temporal trends. This is performed without the need for manually establishing normality thresholds and taking advantage of wavelet transform capabilities to separate the metrics in multiple time-frequency components. Our results show how direct statistical analysis of these components allows for a successful detection of anomalies beyond the capabilities of detection of previous methods.},
DOI = {10.3390/s20195645},
impact = {(IF=3.275, Q1)},
project = {}

}

"Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks", P. Munoz, O. Adamuz-Hinojosa, P. Ameigeiras, J. Navarro-Ortiz, J. J. Ramos-Munoz, Electronics, 9 (9), 2020. DOI: 10.3390/electronics9091429

The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.

@article{electronics9091429,

AUTHOR = {Munoz, Pablo and Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Navarro-Ortiz, Jorge and Ramos-Munoz, Juan J.},
TITLE = {Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks},
JOURNAL = {Electronics},
VOLUME = {9},
YEAR = {2020},
month=9,
NUMBER = {9},
ARTICLE-NUMBER = {1429},
ISSN = {2079-9292},
ABSTRACT = {The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.},
DOI = {10.3390/electronics9091429},
impact = {(IF=2.397, Q3)},
project = {5gclarity|true5g}

}

"Data mining for fuzzy diagnosis systems in LTE networks", E. J. Khatib, R. Barco, A. Gomez-Andrades, P. Munoz, I. Serrano, Expert Systems with Applications, 42 (21), pp. 7549-7559, 2015. DOI: 10.1016/j.eswa.2015.05.031

The recent developments in cellular networks, along with the increase in services, users and the demand of high quality have raised the Operational Expenditure (OPEX). Self-Organizing Networks (SON) are the solution to reduce these costs. Within SON, self-healing is the functionality that aims to automatically solve problems in the radio access network, at the same time reducing the downtime and the impact on the user experience. Self-healing comprises four main functions: fault detection, root cause analysis, fault compensation and recovery. To perform the root cause analysis (also known as diagnosis), Knowledge-Based Systems (KBS) are commonly used, such as fuzzy logic. In this paper, a novel method for extracting the Knowledge Base for a KBS from solved troubleshooting cases is proposed. This method is based on data mining techniques as opposed to the manual techniques currently used. The data mining problem of extracting knowledge out of LTE troubleshooting information can be considered a Big Data problem. Therefore, the proposed method has been designed so it can be easily scaled up to process a large volume of data with relatively low resources, as opposed to other existing algorithms. Tests show the feasibility and good results obtained by the diagnosis system created by the proposed methodology in LTE networks.

@article{KHATIB20157549,

title = {Data mining for fuzzy diagnosis systems in LTE networks},
journal = {Expert Systems with Applications},
volume = {42},
number = {21},
pages = {7549-7559},
year = {2015},
issn = {0957-4174},
doi = {10.1016/j.eswa.2015.05.031},
url = {https://www.sciencedirect.com/science/article/pii/S0957417415003590},
author = {Emil J. Khatib and Raquel Barco and Ana Gomez-Andrades and Pablo Munoz and Inmaculada Serrano},
keywords = {Self-healing, Self-Organizing Networks, LTE, Data mining, Data driven learning, Supervised learning, Fault management, Fuzzy systems, Big Data},
abstract = {The recent developments in cellular networks, along with the increase in services, users and the demand of high quality have raised the Operational Expenditure (OPEX). Self-Organizing Networks (SON) are the solution to reduce these costs. Within SON, self-healing is the functionality that aims to automatically solve problems in the radio access network, at the same time reducing the downtime and the impact on the user experience. Self-healing comprises four main functions: fault detection, root cause analysis, fault compensation and recovery. To perform the root cause analysis (also known as diagnosis), Knowledge-Based Systems (KBS) are commonly used, such as fuzzy logic. In this paper, a novel method for extracting the Knowledge Base for a KBS from solved troubleshooting cases is proposed. This method is based on data mining techniques as opposed to the manual techniques currently used. The data mining problem of extracting knowledge out of LTE troubleshooting information can be considered a Big Data problem. Therefore, the proposed method has been designed so it can be easily scaled up to process a large volume of data with relatively low resources, as opposed to other existing algorithms. Tests show the feasibility and good results obtained by the diagnosis system created by the proposed methodology in LTE networks.},
impact = {(IF=2.98, Q1)}

}

"Contextualized indicators for online failure diagnosis in cellular networks", S. Fortes, R. Barco, A. Aguilar-Garcia, P. Munoz, Computer Networks, 82, pp. 96-113, 2015. DOI: 10.1016/j.comnet.2015.02.031

This paper presents a novel approach for self-healing in cellular networks based on the application of mobile terminals context information: time, service, activity, identity and, especially, location. Context information is therefore used to support root cause analysis, providing improved network fault diagnosis compared to classical non-context-aware approaches. The integration of context information is implemented by means of the newly defined contextualized indicators. These are used in order to integrate user equipment context information in pre-existent failure management schemes. The presented techniques are especially suitable for indoor small cell scenarios, whose particular conditions of dynamic user distribution, overlapping coverage, dynamic radio and service provisioning environment, etc., make previous diagnosis schemes especially unreliable. The algorithms and methodology for the proposed context-aware system are defined and its performance is assessed by means of an LTE system-level simulator.

@article{FORTES201596,

title = {Contextualized indicators for online failure diagnosis in cellular networks},
journal = {Computer Networks},
volume = {82},
pages = {96-113},
year = {2015},
note = {Robust and Fault-Tolerant Communication Networks},
issn = {1389-1286},
doi = {10.1016/j.comnet.2015.02.031},
url = {https://www.sciencedirect.com/science/article/pii/S1389128615000791},
author = {Sergio Fortes and Raquel Barco and Alejandro Aguilar-Garcia and Pablo Munoz},
keywords = {Self-healing, Diagnosis, Context-aware, Localization, Small cells, LTE},
abstract = {This paper presents a novel approach for self-healing in cellular networks based on the application of mobile terminals context information: time, service, activity, identity and, especially, location. Context information is therefore used to support root cause analysis, providing improved network fault diagnosis compared to classical non-context-aware approaches. The integration of context information is implemented by means of the newly defined contextualized indicators. These are used in order to integrate user equipment context information in pre-existent failure management schemes. The presented techniques are especially suitable for indoor small cell scenarios, whose particular conditions of dynamic user distribution, overlapping coverage, dynamic radio and service provisioning environment, etc., make previous diagnosis schemes especially unreliable. The algorithms and methodology for the proposed context-aware system are defined and its performance is assessed by means of an LTE system-level simulator.},
impact = {(IF=1.44, Q2)}

}

"Load balancing mechanisms for indoor temporarily overloaded heterogeneous femtocell networks", A. Aguilar-Garcia, R. Barco, S. Fortes, P. Munoz, EURASIP Journal on Wireless Communications and Networking, 2015. DOI: 10.1186/s13638-015-0265-x

Macrocell and small cell deployments and self-organizing network (SON) techniques work together to increase indoor cellular network capacity and ensure better quality of service (QoS). As a consequence of uneven local user densities and temporal or spatial fluctuations of traffic, the network may suffer overload situations, which partially degrades network performance. Load balancing self-optimization introduces automatic and intelligent mechanisms to tune network parameters in order to improve the overall cellular network performance. This paper proposes novel load balancing methods based on fuzzy logic controllers (FLC) that evaluate temporarily overloaded situations and resize cell coverage areas by an adaptive process of adjusting cell transmission power. To accomplish this goal, classical network indicators are analyzed (e.g., call blocking ratio, available radio resources) while a novel and simple, although powerful, indicator (not mentioned in the literature yet) is additionally proposed as the system input. This indicator is related to the maximum allowed number of users in a femtocell. The proposed methods have been evaluated and compared with the literature in a realistic scenario.

@article{Pmunoz2015qwe,

  author={Alejandro Aguilar-Garcia and Raquel Barco and Sergio Fortes and Pablo Munoz},
  journal={EURASIP Journal on Wireless Communications and Networking},
  title={Load balancing mechanisms for indoor temporarily overloaded heterogeneous femtocell networks},
  year={2015},
  number={29},
abstract = {Macrocell and small cell deployments and self-organizing network (SON) techniques work together to increase indoor cellular network capacity and ensure better quality of service (QoS). As a consequence of uneven local user densities and temporal or spatial fluctuations of traffic, the network may suffer overload situations, which partially degrades network performance. Load balancing self-optimization introduces automatic and intelligent mechanisms to tune network parameters in order to improve the overall cellular network performance. This paper proposes novel load balancing methods based on fuzzy logic controllers (FLC) that evaluate temporarily overloaded situations and resize cell coverage areas by an adaptive process of adjusting cell transmission power. To accomplish this goal, classical network indicators are analyzed (e.g., call blocking ratio, available radio resources) while a novel and simple, although powerful, indicator (not mentioned in the literature yet) is additionally proposed as the system input. This indicator is related to the maximum allowed number of users in a femtocell. The proposed methods have been evaluated and compared with the literature in a realistic scenario.},
url = {https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-015-0265-x},
doi={10.1186/s13638-015-0265-x},
  month={Jan},impact={(IF=0.62, Q3)}

}

"Load balancing and handover joint optimization in LTE networks using Fuzzy Logic and Reinforcement Learning", P. Munoz, R. Barco, I. . L. Bandera, Computer Networks, 76, pp. 112-125, 2015. DOI: 10.1016/j.comnet.2014.10.027

With the growing deployment of cellular networks, operators have to devote significant manual effort to network management. As a result, Self-Organizing Networks (SONs) have become increasingly important in order to raise the level of automated operation in cellular technologies. In this context, Load Balancing (LB) and Handover Optimization (HOO) have been identified by industry as key self-organizing mechanisms for the Radio Access Networks (RANs). However, most efforts have been focused on developing a stand-alone entity for each self-organizing mechanism, which will run in parallel with other entities, as well as designing coordination mechanisms in charge of stabilizing the network as a whole. Due to the importance of LB and HOO, in this paper, a unified self-management mechanism based on Fuzzy Logic and Reinforcement Learning is proposed. In particular, the proposed algorithm modifies handover parameters to optimize the main Key Performance Indicators related to LB and HOO. Results show that the proposed scheme effectively provides better performance than independent entities running simultaneously in the network.

@article{MUNOZ2015112,

title = {Load balancing and handover joint optimization in LTE networks using Fuzzy Logic and Reinforcement Learning},
journal = {Computer Networks},
volume = {76},
pages = {112-125},
year = {2015},
issn = {1389-1286},
doi = {10.1016/j.comnet.2014.10.027},
url = {https://www.sciencedirect.com/science/article/pii/S1389128614003892},
author = {P. Munoz and R. Barco and I. {de la Bandera}},
keywords = {Load balancing, Handover, Self-organizing networks, Long-term evolution, Fuzzy logic, Reinforcement learning},
abstract = {With the growing deployment of cellular networks, operators have to devote significant manual effort to network management. As a result, Self-Organizing Networks (SONs) have become increasingly important in order to raise the level of automated operation in cellular technologies. In this context, Load Balancing (LB) and Handover Optimization (HOO) have been identified by industry as key self-organizing mechanisms for the Radio Access Networks (RANs). However, most efforts have been focused on developing a stand-alone entity for each self-organizing mechanism, which will run in parallel with other entities, as well as designing coordination mechanisms in charge of stabilizing the network as a whole. Due to the importance of LB and HOO, in this paper, a unified self-management mechanism based on Fuzzy Logic and Reinforcement Learning is proposed. In particular, the proposed algorithm modifies handover parameters to optimize the main Key Performance Indicators related to LB and HOO. Results show that the proposed scheme effectively provides better performance than independent entities running simultaneously in the network.},
impact ={(IF=1.44, Q2)}

}

"Dynamic traffic steering based on fuzzy Q-Learning approach in a multi-RAT multi-layer wireless network", P. Munoz, D. Laselva, R. Barco, P. Mogensen, Computer Networks, 71, pp. 100-116, 2014. DOI: 10.1016/j.comnet.2014.06.003

The infrastructure of current cellular networks must evolve to cope with the increasing demand for mobile-broadband services. Heterogeneous networks are an attractive solution for operators to expand network capacity, based on deploying different Radio Access Technologies, cell sizes and carrier frequencies in the same environment. As a result, operators gain flexibility to distribute traffic across the different networks (or layers) in order to make a more efficient use of resources and enhance network performance. In this work, a dynamic traffic steering technique in multi-RAT multi-layer wireless networks is proposed. In particular, a fuzzy rule-based reinforcement learning algorithm modifies handover parameters according to a specific policy set by the operator, which typically searches for a trade-off between key performance indicators. Results show that the proposed optimization algorithm provides good flexibility to support different policies by simply adjusting some weighting factors. In addition, the Q-Learning algorithm is shown as an effective solution to adapt the network to context variations, such as those produced in the user spatial distribution.

@article{MUNOZ2014100,

title = {Dynamic traffic steering based on fuzzy Q-Learning approach in a multi-RAT multi-layer wireless network},
journal = {Computer Networks},
volume = {71},
pages = {100-116},
year = {2014},
issn = {1389-1286},
doi = {10.1016/j.comnet.2014.06.003},
url = {https://www.sciencedirect.com/science/article/pii/S1389128614002266},
author = {P. Munoz and D. Laselva and R. Barco and P. Mogensen},
keywords = {Traffic steering, Q-Learning, Fuzzy logic controller, Handover, Heterogeneous networks},
abstract = {The infrastructure of current cellular networks must evolve to cope with the increasing demand for mobile-broadband services. Heterogeneous networks are an attractive solution for operators to expand network capacity, based on deploying different Radio Access Technologies, cell sizes and carrier frequencies in the same environment. As a result, operators gain flexibility to distribute traffic across the different networks (or layers) in order to make a more efficient use of resources and enhance network performance. In this work, a dynamic traffic steering technique in multi-RAT multi-layer wireless networks is proposed. In particular, a fuzzy rule-based reinforcement learning algorithm modifies handover parameters according to a specific policy set by the operator, which typically searches for a trade-off between key performance indicators. Results show that the proposed optimization algorithm provides good flexibility to support different policies by simply adjusting some weighting factors. In addition, the Q-Learning algorithm is shown as an effective solution to adapt the network to context variations, such as those produced in the user spatial distribution.},
impact = {(IF=1.25, Q2)}

}

"Optimization of load balancing using fuzzy Q-Learning for next generation wireless networks", P. Munoz, R. Barco, I. . L. Bandera, Expert Systems with Applications, 40 (4), pp. 984-994, 2013. DOI: 10.1016/j.eswa.2012.08.071

Load balancing is considered by the 3GPP as an important issue in Self-Organizing Networks due to its effectiveness to increase network capacity. In next generation wireless networks, load balancing can be easily implemented by tuning handover (HO) margins, achieving a decrease in call blocking. However, call dropping can be increased as a negative effect of the HO-based load balancing, because users usually are handed over to cells where the radio conditions are worse. In this work, a Fuzzy Logic Controller (FLC) optimized by the fuzzy Q-Learning algorithm is proposed for the load balancing problem, with the aim of decreasing call blocking in congested cells, while at the same time restricting call dropping in neighboring cells according to the network policy. In particular, two different approaches for the FLC optimization are evaluated in this work, highlighting that one of the proposed methods allows to accurately preserve the call quality constraint during the load balancing, while the other can adapt to network variations. Results show that the optimized FLC provides a notable reduction in call blocking while preserving call dropping under the operator constraint.

@article{MUNOZ2013984,

title = {Optimization of load balancing using fuzzy Q-Learning for next generation wireless networks},
journal = {Expert Systems with Applications},
volume = {40},
number = {4},
pages = {984-994},
year = {2013},
issn = {0957-4174},
doi = {10.1016/j.eswa.2012.08.071},
url = {https://www.sciencedirect.com/science/article/pii/S0957417412010445},
author = {P. Munoz and R. Barco and I. {de la Bandera}},
keywords = {Fuzzy Q-Learning, Fuzzy Logic Controller, Handover, Load balancing},
abstract = {Load balancing is considered by the 3GPP as an important issue in Self-Organizing Networks due to its effectiveness to increase network capacity. In next generation wireless networks, load balancing can be easily implemented by tuning handover (HO) margins, achieving a decrease in call blocking. However, call dropping can be increased as a negative effect of the HO-based load balancing, because users usually are handed over to cells where the radio conditions are worse. In this work, a Fuzzy Logic Controller (FLC) optimized by the fuzzy Q-Learning algorithm is proposed for the load balancing problem, with the aim of decreasing call blocking in congested cells, while at the same time restricting call dropping in neighboring cells according to the network policy. In particular, two different approaches for the FLC optimization are evaluated in this work, highlighting that one of the proposed methods allows to accurately preserve the call quality constraint during the load balancing, while the other can adapt to network variations. Results show that the optimized FLC provides a notable reduction in call blocking while preserving call dropping under the operator constraint.},
impact = {(IF=1.96, Q1)}

}

"Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios", J. M. Ruiz-Aviles, S. Luna-Ramirez, M. Toril, F. Ruiz, I. D. L. Bandera, P. Munoz, R. Barco, P. Lazaro, V. Buenestado, Journal of Electrical and Computer Engineering, 2012, pp. 14, 2012. DOI: 10.1155/2012/802606

In the context of Long-Term Evolution (LTE), the next generation mobile telecommunication network, femtocells are low-power base stations that efficiently provide coverage and capacity indoors. This paper presents a computationally efficient dynamic system-level LTE simulator for enterprise femtocell scenarios. The simulator includes specific mobility and traffic and propagation models for indoor environments. A physical layer abstraction is performed to predict link-layer performance with low computational cost. At link layer, two important functions are included to increase network capacity: Link Adaptation and Dynamic Scheduling. At network layer, other Radio Resource Management functionalities, such as Admission Control and Mobility Management, are also included. The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).

@article{PMunoz2012,

title = {Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios},
journal = {Journal of Electrical and Computer Engineering},
author = {J. M. Ruiz-Aviles and S. Luna-Ramirez and M. Toril and F. Ruiz and I. de la Bandera and P. Munoz and R. Barco and P. Lazaro and V. Buenestado},
volume = {2012},
pages = {14},
year = {2012},
issn = {1018-4864},
doi = {10.1155/2012/802606},
url = {https://www.hindawi.com/journals/jece/2012/802606/},
abstract = {In the context of Long-Term Evolution (LTE), the next generation mobile telecommunication network, femtocells are low-power base stations that efficiently provide coverage and capacity indoors. This paper presents a computationally efficient dynamic system-level LTE simulator for enterprise femtocell scenarios. The simulator includes specific mobility and traffic and propagation models for indoor environments. A physical layer abstraction is performed to predict link-layer performance with low computational cost. At link layer, two important functions are included to increase network capacity: Link Adaptation and Dynamic Scheduling. At network layer, other Radio Resource Management functionalities, such as Admission Control and Mobility Management, are also included. The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).}

}

"Computationally-Efficient Design of a Dynamic System-Level LTE Simulator", P. Munoz, I. de la Bandera, F. Ruiz, S. Luna-Ramirez, R. Barco, M. Toril, P. Lazaro, J. Rodriguez, International Journal of Electronics and Telecommunications, 57 (3), 2011. DOI: 10.2478/v10177-011-0047-2

@article{MunozPabloComputationallyEfficient2011,

 author={Munoz, Pablo and de la Bandera, Isabel and Ruiz, Fernando and Luna-Ramirez, Salvador and Barco, Raquel and Toril, Matias and Lazaro, Pedro and Rodriguez, Jaime},
 volume={57},
 number={3},
  journal={International Journal of Electronics and Telecommunications},
 year={2011},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 title={Computationally-Efficient Design of a Dynamic System-Level LTE Simulator},
 doi={10.2478/v10177-011-0047-2}

}

"Virtual environments and advanced simulation in food analysis education", C. Duque-Soto, L. Lopez-Salas, X. Exposito-Almellon, A. Rueda-Robles, M. C. Almecija-Rodriguez, A.R. Perez-Galvez, P. Munoz-Luengo, J. J. Ramos-Munoz, J. Lozano-Sanchez, "18th annual International Conference on Education and New Learning Technologies (EDULEARN26)", 2026. DOI: 10.21125/edulearn.2026.1036

@inproceedings{edulearn2026a,

      title={Virtual environments and advanced simulation in food analysis education},
      author={C. Duque-Soto and L. Lopez-Salas and X. Exposito-Almellon and A. Rueda-Robles and M. C. Almecija-Rodriguez and A.R. Perez-Galvez and P. Munoz-Luengo and J. J. Ramos-Munoz and J. Lozano-Sanchez},
      booktitle={18th annual International Conference on Education and New Learning Technologies (EDULEARN26)},
      address={Palma de Mallorca, Spain},
      month={June},
      year={2026},
      doi = {10.21125/edulearn.2026.1036},
      isbn = {},
      project={},
      url={
}

"New teaching innovation tools in food analysis and their application to the food science and technology pilot plant (INLABPILOTFOOD)", C. Duque-Soto, L. Lopez-Salas, X. Exposito-Almellon, A. R. Robles, M. C. Almecija-Rodriguez, P. J. Garcia-Romero, A. R. P. Galvez, I. B. Linares, R. Quirantes-Pine, P. Munoz-Luengo, O. R. Adamuz-Hinojosa, J. J. Ramos-Munoz, A. Bendini, F. Chinnici, M. Texeira-Barcia, T. Emmanuelli, C. R. D. Menezes, J. Lozano-Sanchez, "18th annual International Conference on Education and New Learning Technologies (EDULEARN26)", 2026. DOI: 10.21125/edulearn.2026.1035

@inproceedings{edulearn2026b,

      title={New teaching innovation tools in food analysis and their application to the food science and technology pilot plant (INLABPILOTFOOD)},
      author={C. Duque-Soto and L. Lopez-Salas and X. Exposito-Almellon and A. Rueda Robles and M. C. Almecija-Rodriguez and P. J. Garcia-Romero and A. R. Perez Galvez and I. Borras- Linares and R. Quirantes-Pine and P. Munoz-Luengo and O. R. Adamuz-Hinojosa and J. J. Ramos-Munoz and A. Bendini and F. Chinnici and M. Texeira-Barcia and T. Emmanuelli and C. Ragagnin de Menezes and J. Lozano-Sanchez},
      booktitle={18th annual International Conference on Education and New Learning Technologies (EDULEARN26)},
      address={Palma de Mallorca, Spain},
      month={June},
      year={2026},
      doi = {10.21125/edulearn.2026.1035},
      isbn = {},
      project={},
      url={
}

"Story-based learning materials to foster steam vocations among girls", J. J. Ramos-Munoz, P. Munoz-Luengo, N. Chinchilla-Romero, J. Prados-Garzon, F. Delgado-Ferro, O. Adamuz-Hinojosa, P. Rodriguez-Martin, J. Caleya-Sanchez, J. Navarro-Ortiz, P. Ameigeiras, J.M. Lopez-Soler, "18th annual International Conference on Education and New Learning Technologies (EDULEARN26)", 2026. DOI: 10.21125/edulearn.2026.1468

@inproceedings{edulearn2026c,

      title={Story-based learning materials to foster steam vocations among girls},
      author={J. J. Ramos-Munoz and P. Munoz-Luengo and N. Chinchilla-Romero and J. Prados-Garzon and F. Delgado-Ferro and O. Adamuz-Hinojosa and P. Rodriguez-Martin and J. Caleya-Sanchez and J. Navarro-Ortiz and P. Ameigeiras and J.M. Lopez-Soler},
      booktitle={18th annual International Conference on Education and New Learning Technologies (EDULEARN26)},
      address={Palma de Mallorca, Spain},
      month={June},
      year={2026},
      doi = {10.21125/edulearn.2026.1468},
      isbn = {},
      project={},
      url={
}

"INNOVA-RAG: Aplicacion de la tecnica de Generacion Aumentada por Recuperacion en el ambito de la innovacion educativa", P. Munoz-Luengo, O. Adamuz-Hinojosa, A. Biedma-Perez, J. Caleya-Sanchez, F. Delgado-Ferro, J. E. Galeote-Cazorla, A. M. Mora-Garcia, P. Rodriguez-Martin, "XXII Congreso Internacional de Investigacion Educativa (AIDIPE)", 2026

@inproceedings{aidipe2026,

      title={INNOVA-RAG: Aplicacion de la tecnica de Generacion Aumentada por Recuperacion en el ambito de la innovacion educativa},
      author={P. Munoz-Luengo and O. Adamuz-Hinojosa and A. Biedma-Perez and J. Caleya-Sanchez and F. Delgado-Ferro and J. E. Galeote-Cazorla and A. M. Mora-Garcia and P. Rodriguez-Martin},
      booktitle={XXII Congreso Internacional de Investigacion Educativa (AIDIPE)},
      address={Granada, Spain},
      month={June},
      year={2026},
      COMMENTdoi = {xxx},
      isbn = {},
      project={},
      url={
}

"Performance Analysis of 5G RAN Slicing Deployment Options in Industry 4.0 Factories", O. Adamuz-Hinojosa, A. Abdeselam, P. Munoz, P. Ameigeiras, J. M. Lopez-Soler, "Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)", 2026. DOI: 10.1109/EuCNC/6GSummit68295.2026.11577487

@inproceedings{eucnc2026b,

      title={Performance Analysis of 5G RAN Slicing Deployment Options in Industry 4.0 Factories},
      author={O. Adamuz-Hinojosa and A. Abdeselam and P. Munoz and P. Ameigeiras and J. M. Lopez-Soler},
      booktitle={Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)},
      address={Malaga, Spain},
      month={June},
      year={2026},
      doi = {10.1109/EuCNC/6GSummit68295.2026.11577487},
      isbn = {},
      project={6ginspire},
      url={https://ieeexplore.ieee.org/document/11577487
}

"Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks", D. Fernandez-Martinez, L. Chinchilla-Romero, P. Munoz, P. Ameigeiras, "18th International Work-Conference on Artificial Neural Networks (IWANN 2025)", ISBN 978-3-032-02725-2, pp. 358--370, 2025. DOI: 10.1007/978-3-032-02725-2_28

@inproceedings{davidfernandez2025,

      title={Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks},
      author={David Fernandez-Martinez and Lorena Chinchilla-Romero and Pablo Munoz and Pablo Ameigeiras},
      booktitle={18th International Work-Conference on Artificial Neural Networks (IWANN 2025)},
      address={A Coruna, Spain},
      month={October},
      year={2025},
      doi = {10.1007/978-3-032-02725-2_28},
      pages="358--370",
      isbn="978-3-032-02725-2",
      project={6gchronos|6ginspire},
      url={https://iwann.uma.es/}

}

"Empirical Evaluation of a 5G Transparent Clock for Time Synchronization in a TSN-5G Network", J. Caleya-Sanchez, P. Munoz, J. Sanchez-Garrido, E. Florentin, F. Delgado-Ferro, P. Rodriguez-Martin, P. Ameigeiras, "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'25)", pp. 1-6, 2025. DOI: 10.1109/PIMRC62392.2025.11274971

@inproceedings{caleya2025,

      title={Empirical Evaluation of a 5G Transparent Clock for Time Synchronization in a TSN-5G Network},
      author={Julia Caleya-Sanchez and Pablo Munoz and Jorge Sanchez-Garrido and Emilio Florentin and Felix Delgado-Ferro and Pablo Rodriguez-Martin and Pablo Ameigeiras},
      booktitle={IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'25)},
      address={Istanbul, Türkiye},
      month={September},
      year={2025},
      pages={1-6},
      doi={10.1109/PIMRC62392.2025.11274971},
      project={6gchronos|6ginspire},
      url={https://pimrc2025.ieee-pimrc.org/}

}

"Empirical Analysis of 5G TDD Patterns Configurations for Industrial Automation Traffic", O. Adamuz-Hinojosa, F. Delgado-Ferro, N. Domenech, J. Navarro-Ortiz, P. Munoz, S. M. Darroudi, P. Ameigeiras, J. M. Lopez-Soler, "2025 European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)", 2025. DOI: 10.1109/EuCNC/6GSummit63408.2025.11037107

@inproceedings{adamuz2025,

      title={Empirical Analysis of 5G TDD Patterns Configurations for Industrial Automation Traffic},
      author={Oscar Adamuz-Hinojosa and Felix Delgado-Ferro and Nuria Domenech and Jorge Navarro-Ortiz and Pablo Munoz and Seyed Mahdi Darroudi and Pablo Ameigeiras and Juan Manuel Lopez-Soler},
      booktitle={2025 European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)},
      address={Poznan, Poland},
      month={June},
      year={2025},
      doi = {10.1109/EuCNC/6GSummit63408.2025.11037107},
      project={6gchronos|6ginspire},
      url={https://www.eucnc.eu/}

}

"Empirical Analysis of the Impact of 5G Jitter on Time-Aware Shaper Scheduling in a 5G-TSN Network", P. Rodriguez-Martin, O. Adamuz-Hinojosa, P. Munoz-Luengo, J. Caleya-Sanchez, J. Navarro-Ortiz, P. Ameigeiras, "21st IEEE International Conference on Factory Communication Systems (WFCS 2025)", 2025. DOI: 10.1109/WFCS63373.2025.11077618

@inproceedings{rodriguez2025,

      title={Empirical Analysis of the Impact of 5G Jitter on Time-Aware Shaper Scheduling in a 5G-TSN Network},
      author={Pablo Rodriguez-Martin and Oscar Adamuz-Hinojosa and Pablo Munoz-Luengo and Julia Caleya-Sanchez and Jorge Navarro-Ortiz and Pablo Ameigeiras},
      booktitle={21st IEEE International Conference on Factory Communication Systems (WFCS 2025)},
      address={Rostock, Germany},
      month={June},
      year={2025},
      doi = {10.1109/WFCS63373.2025.11077618},
      project={6gchronos|6ginspire},
      url={https://wfcs25.uni-rostock.de/}

}

"Flow Prioritization for TSN Asynchronous Traffic Shapers", J. Caleya-Sanchez, J. Prados-Garzon, L. Chinchilla-Romero, P. Munoz-Luengo, P. Ameigeiras, "International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop", pp. 1-6, 2023. DOI: 10.23919/IFIPNetworking57963.2023.10186427

@inproceedings{EUCNC2023,

   author       = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Ameigeiras, Pablo},
   title        = {Flow Prioritization for TSN Asynchronous Traffic Shapers},
   booktitle    = {International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop},
   year         = {2023},
   publisher    = {IFIP Technical Committee on Communication Systems (TC6)},
   month        = {June},
   address      = {Barcelona, Spain},
   pages={1-6},
   doi={10.23919/IFIPNetworking57963.2023.10186427},
   project      = {5gclarity|true5g|6gchronos},
   url   = {https://ieeexplore.ieee.org/document/10186427}

}

"URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. M. Lopez-Soler, "IEEE Wireless Communications and Networking Conference (WCNC), Glasgow", pp. 1-6, 2023. DOI: 10.1109/WCNC55385.2023.10119085

@inproceedings{URLLC_Ch23,

  author       = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. M. Lopez-Soler},
  booktitle    = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow},
  title        = {URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs},
  year         = {2023},
  publisher    = {IEEE},
  month        = {Mar},
  address      = {Glasgow, Scotland, UK},
  pages={1-6},
  doi={10.1109/WCNC55385.2023.10119085},
  project      = {5gclarity|true5g|6gchronos},

}

"Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. J. Ramos-Munoz, "IEEE Wireless Communications and Networking Conference (WCNC), Glasgow", pp. 1-6, 2023. DOI: 10.1109/WCNC55385.2023.10118590

@inproceedings{AutoCh23,

  author       = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz},
  booktitle    = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow},
  title        = {Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL},
  year         = {2023},
  publisher    = {IEEE},
  month        = {Mar},
  address      = {Glasgow, Scotland, UK},
  pages={1-6},
  keywords={Wireless communication;5G mobile communication;Computational modeling;Light fidelity;Communication system security;Security;Task analysis},
  doi={10.1109/WCNC55385.2023.10118590},
  project      = {5gclarity|true5g|6gchronos},
  COMMENTurl   = {xxx}
  
}

"Leveraging DRL for Traffic Prioritization in 5G and Beyond TSN-based Transport Networks", J. Prados-Garzon, L. Chinchilla-Romero, P. Munoz, P. Ameigeiras, J. J. Ramos-Munoz, "XXXVII Symposium of the International Union of Radio Science (URSI 2022)", pp. 1-4, 2022. DOI: 10.5281/zenodo.7060474

@inproceedings{URSI20227060474,

   author       = {Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz, Pablo and Ameigeiras, Pablo and Ramos-Munoz, Juan J.},
   title        = {Leveraging {DRL} for Traffic Prioritization in {5G} and Beyond {TSN}-based Transport Networks},
   booktitle    = {XXXVII Symposium of the International Union of Radio Science (URSI 2022)},
   year         = {2022},
   publisher    = {Zenodo},
   month        = {Sep},
   pages        = {1-4},
   address      = {Malaga, Spain},
   doi          = {10.5281/zenodo.7060474},
   project      = {5gclarity|true5g|6gchronos},

}

"DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. J. Ramos-Munoz, "XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga", 2022

@inproceedings{DRL_Ch22,

  author={L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz},
  booktitle={XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga},
  title={DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks},
  year={2022},
  volume={},
  number={},
  pages={},
  project      = {5gclarity|true5g|6gchronos},
  doi={}
}

"WIMUNET: Current research on Internet of (Robotic) things and 5G", P. Munoz, L. Chinchilla-Romero, N. Chinchilla-Romero, J. Prados-Garzon, O. Adamuz-Hinojosa, F. Delgado-Ferro, J. Caleya-Sanchez, P. Rodriguez-Martin, P. Ameigeiras, J. Navarro-Ortiz, J. J. Ramos-Munoz, J. M. Lopez-Soler, "Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada", 2022

@inproceedings{Auto_Ch23,

  author={P. Munoz and L. Chinchilla-Romero and N. Chinchilla-Romero and J. Prados-Garzon and O. Adamuz-Hinojosa and F. Delgado-Ferro and J. Caleya-Sanchez and P. Rodriguez-Martin and P. Ameigeiras and J. Navarro-Ortiz and J. J. Ramos-Munoz and J. M. Lopez-Soler},
  booktitle={Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada},
  title={WIMUNET: Current research on Internet of (Robotic) things and 5G},
  year={2022},
  volume={},
  number={},
  pages={},
  project      = {5gclarity|true5g|6gchronos|premonition},
  doi={}
}

"Asynchronous Time-Sensitive Networking for Industrial Networks", J. Prados-Garzon, L. Chinchilla-Romero, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler, "2021 Joint European Conference on Networks and
Communications   6G Summit (EuCNC/6G Summit)", pp. 130-135, 2021. DOI: 10.1109/EuCNC/6GSummit51104.2021.9482597

@inproceedings{9482597,

   author={Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
   booktitle={2021 Joint European Conference on Networks and
Communications   6G Summit (EuCNC/6G Summit)},
   title={Asynchronous Time-Sensitive Networking for Industrial Networks},
   year={2021},
   volume={},
   number={},
   pages={130-135},
   project={5gclarity|true5g},
   doi={10.1109/EuCNC/6GSummit51104.2021.9482597}
}

"Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)", F. Delgado-Ferro, J. Navarro-Ortiz, L. Chinchilla-Romero, P. Munoz-Luengo, "XV Jornadas de Ingenieria Telematica (JITEL 2021)", 2021

@inproceedings{fdelgado_jitel21a,
  author={F. {Delgado-Ferro} and J. {Navarro-Ortiz} and L. {Chinchilla-Romero} and P. {Munoz-Luengo}},  booktitle={XV Jornadas de Ingenieria Telematica (JITEL 2021)}, title={Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)}, year={2021}, project = {5gclarity|true5g}, pdf={https://digibug.ugr.es/handle/10481/71140}
}

"Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices", O. Adamuz-Hinojosa, P. Ameigeiras, P. Muñoz, J. M. Lopez-Soler, "2021 IEEE Wireless Communications and Networking Conference (WCNC)", pp. 1-7, 2021. DOI: 10.1109/WCNC49053.2021.9417351

@inproceedings{OscarCellModel2021,

  author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Muñoz, Pablo and Lopez-Soler, Juan M.},
  booktitle={2021 IEEE Wireless Communications and Networking Conference (WCNC)},
  title={Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices},
  year={2021},
  volume={},
  number={},
  pages={1-7},
  keywords={Analytical models;Estimation error;Computational modeling;OFDM;Conferences;Bit rate;Bandwidth;Blocking probability;OFDMA;GBR;Erlang-B},
  doi={10.1109/WCNC49053.2021.9417351},
  project={5gclarity|true5g}

}

"WiMuNet's research lines", J. Navarro-Ortiz, N. Chinchilla-Romero, L. Chinchilla-Romero, J. Prados-Garzon, F. Delgado-Ferro, P. Ameigeiras, P. Munoz-Luengo, J. J. Ramos-Munoz, J. M. Lopez-Soler, "VI Workshop on QoE, QoS on Multimedia Communications (QQCM'21)", ISBN 9788409311248, 2021

@inproceedings{jnavarroqqcm21,
 author={J. {Navarro-Ortiz} and N. {Chinchilla-Romero} and L. {Chinchilla-Romero} and J. {Prados-Garzon} and F. {Delgado-Ferro} and P. {Ameigeiras} and P. {Munoz-Luengo} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}}, booktitle={VI Workshop on QoE, QoS on Multimedia Communications (QQCM'21)}, isbn={9788409311248}, title={WiMuNet's research lines}, year={2021}, url={https://sites.google.com/unizar.es/qqcm-2021/agenda}, project={5gclarity|true5g|artemis}
}

"Improving hardware security for LoRaWAN", J. Navarro-Ortiz, N. Chinchilla-Romero, J. J. Ramos-Munoz, P. Munoz-Luengo, "2019 IEEE Conference on Standards for Communications and Networking (CSCN)", pp. 1-6, 2019. DOI: 10.1109/CSCN.2019.8931397

@inproceedings{8931397,
  author={J. {Navarro-Ortiz} and N. {Chinchilla-Romero} and J. J. {Ramos-Munoz} and P. {Munoz-Luengo}},  booktitle={2019 IEEE Conference on Standards for Communications and Networking (CSCN)},   title={Improving hardware security for LoRaWAN},   year={2019},  volume={},  number={},  pages={1-6},  doi={10.1109/CSCN.2019.8931397}, project="5gcity"
}

"WiMuNet's research on 5G and QoE", J. Prados-Garzon, P. Andres-Maldonado, P. Romero-Diaz, J. Navarro-Ortiz, J. J. Ramos-Munoz, P. Ameigeiras, P. Munoz-Luengo, S. Sendra, J. M. Lopez-Soler, "IV Workshop on QoE, QoS on Multimedia Communications (QQCM'18)", 2018

@inproceedings{jpradosqqcm18,
  author={J. {Prados-Garzon} and P. {Andres-Maldonado} and P. {Romero-Diaz} and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Munoz-Luengo} and S. {Sendra} and J. M. {Lopez-Soler}},  booktitle={IV Workshop on QoE, QoS on Multimedia Communications (QQCM'18)}, title={WiMuNet's research on 5G and QoE}, year={2018}, project={5gcity}
}

"Wireless and Multimedia Networking laboratory", J. Prados-Garzon, P. Andres-Maldonado, P. Romero-Diaz, J. Navarro-Ortiz, J. J. Ramos-Munoz, P. Ameigeiras, P. Munoz-Luengo, S. Sendra, J. M. Lopez-Soler, "II Workshop on QoE, QoS on Multimedia Communications (QQCM'16)", 2016

@inproceedings{jpradosqqcm16,
  author={J. {Prados-Garzon} and P. {Andres-Maldonado} and P. {Romero-Diaz} and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Munoz-Luengo} and S. {Sendra} and J. M. {Lopez-Soler}},  booktitle={II Workshop on QoE, QoS on Multimedia Communications (QQCM'16)}, title={Wireless and Multimedia Networking laboratory},   year={2016}
}

"Analysis of load sharing techniques in enterprise LTE femtocells", J. M. R. Aviles, S. Luna-Ramirez, M. Toril, F. Ruiz, I. . L. Bandera-Cascales, P. Munoz-Luengo, "2011 Wireless Advanced", ISBN 978-1457701108, pp. 195-200, 2011. DOI: 10.1109/WiAd.2011.5983310

In cellular networks, traffic demand is unevenly distributed both in time and space. This paper investigates the problem of re-distributing traffic demand between LTE femtocells in an enterprise scenario. A performance comparison of several traffic sharing techniques is carried out based on simulations. For this purpose, an efficient dynamic system-level LTE simulator is built. Results show that the combination of directed retry and load sharing by tuning handover margins and transmit power is an effective means to solve localized congestion problems.

@inproceedings{5983310,

	author={J. M. R. {Aviles} and S. {Luna-Ramirez} and M. {Toril} and F. {Ruiz} and I. {de la Bandera-Cascales} and P. {Munoz-Luengo}},
	booktitle={2011 Wireless Advanced},
	title={Analysis of load sharing techniques in enterprise LTE femtocells},
	year={2011},
	volume={},
	number={},
	pages={195-200},
	abstract={In cellular networks, traffic demand is unevenly distributed both in time and space. This paper investigates the problem of re-distributing traffic demand between LTE femtocells in an enterprise scenario. A performance comparison of several traffic sharing techniques is carried out based on simulations. For this purpose, an efficient dynamic system-level LTE simulator is built. Results show that the combination of directed retry and load sharing by tuning handover margins and transmit power is an effective means to solve localized congestion problems.},
	keywords={cellular radio;femtocellular radio;Long Term Evolution;telephone traffic;load sharing techniques analysis;enterprise LTE Femtocells;cellular networks;traffic demand;redistributing traffic demand;traffic sharing techniques;system-level LTE simulator;Femtocells;Computational modeling;Load management;Optimization;Fading;Tuning;Macrocell networks;Mobile network;traffic;load balancing;optimization;handover margins},
	doi={10.1109/WiAd.2011.5983310},
	ISSN={},
	isbn={978-1457701108},
	month={June},

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation", A. Tzanakaki, M. Anastasopoulos, J. A. Ordonez-Lucena, D. Camps-Mur, A. Manolopoulos, V. M. Alevizaki, P. Georgiadis, C. Colman-Meixner, S. Y. A. H. Alshaer, A. Garcia, K. Chackravaram, J. Prados-Garzon, L. Chinchilla-Romero, P. Ameigeiras, P. Munoz-Luengo, D. Gonzalez-Sanchez, I. Dominguez-Martinez, R. Bian, T. Cogalan, J. McNamara, N. C. Manjappa, R. Vasist, M. Goodarzi, J. Gutierrez, V. Sark, M. Ghoraishi, A. Jain, 5G-CLARITY, 2022

@techreport{5GCLARITYD24,

  author      = "A. Tzanakaki and M. Anastasopoulos and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and V. M. Alevizaki and P. Georgiadis and C. Colman-Meixner and S. Yang and
  H. Alshaer and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo
  and D. Gonzalez-Sanchez and I. Dominguez-Martinez and R. Bian and T. Cogalan and J. McNamara and N. C. Manjappa and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi and A. Jain",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation",
  institution = "5G-CLARITY",
  year        = "2022",
  type        = "deliverable",
  month       = "October",
  URL         = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D24-Amended.pdf},
  project     = {5gclarity}

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms", J. McNamara, A. Yesilkaya, A. Purwita, C. Colman-Meixner, H. Li, H. Frank, S. Yan, X. Zhou, D. Camps-Mur, D. Gonzalez-Sanchez, I. Soto-Campos, D. Fernandez-Cambronero, J. Prados-Garzon, J. J. Ramos-Munoz, L. Chinchilla-Romero, P. Munoz-Luengo, J. Perez-Romero, O. Sallent, I. Vila, J. A. Ordonez-Lucena, I. Dominguez-Martinez, M. Goodarzi, T. Cogalan, M. Ghoraishi, 5G-CLARITY, 2022

@techreport{5GCLARITYD43,

  author      = "J. McNamara and A. Yesilkaya and A. Purwita and C. Colman-Meixner and H. Li and H. Frank and S. Yan and X. Zhou and D. Camps-Mur and D. Gonzalez-Sanchez and I. Soto-Campos and D. Fernandez-Cambronero and J. Prados-Garzon and J. J. Ramos-Munoz and L. Chinchilla-Romero and P. Munoz-Luengo and J. Perez-Romero and O. Sallent and I. Vila and J. A. Ordonez-Lucena and I Dominguez-Martinez and M. Goodarzi and T. Cogalan and M. Ghoraishi",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms ",
  institution = "5G-CLARITY",
  year        = "2022",
  type        = "deliverable",
  month       = "October",
  URL         = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D43-Amended.pdf},
  project     = {5gclarity}

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan", R. Bian, H. Garcia-Nieto, J. Gutierrez, V. Sark, T. Cogalan, C. Colman-Meixner, A. Garcia, J. A. Amoros, A. Yesilkaya, H. Alshaer, P. Munoz-Luengo, J. M. Lopez-Soler, J. A. Ordonez-Lucena, J. McNamara, M. Ghoraishi, 5G-CLARITY, 2022

@techreport{5GCLARITYD67,

  author      = "R. Bian and H. Garcia-Nieto and J. Gutierrez and V. Sark and T. Cogalan and C. Colman-Meixner and A. Garcia and J. A. Amoros and A. Yesilkaya and H. Alshaer and P. Munoz-Luengo and J. M. Lopez-Soler and J. A. Ordonez-Lucena and J. McNamara and M. Ghoraishi",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan",
  institution = "5G-CLARITY",
  year        = "2022",
  type        = "deliverable",
  month       = "February",
  URL         = {https://5gclarity.com/wp-content/uploads/2022/07/5G-CLARITY_D67.pdf},
  project     = {5gclarity}

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation", A. Tzanakaki, J. A. Ordonez-Lucena, D. Camps-Mur, A. Manolopoulos, P. Georgiades, V. M. Alevizaki, S. Maglaris, M. Anastasopoulos, A. Tzanakaki, A. Garcia, K. Chackravaram, J. Prados-Garzon, L. Chinchilla-Romero, P. Ameigeiras, P. Munoz-Luengo, H. Alshaer, A. Yesilkaya, R. Bian, T. Cogalan, R. Vasist, M. Goodarzi, J. Gutierrez, V. Sark, M. Ghoraishi, 5G-CLARITY, 2021

@techreport{5GCLARITYD23,

  author      = "A. Tzanakaki and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and P. Georgiades and V. M. Alevizaki and S. Maglaris and M. Anastasopoulos and A. Tzanakaki and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo and H. Alshaer and A. Yesilkaya and R. Bian and T. Cogalan and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation",
  institution = "5G-CLARITY",
  year        = "2021",
  type        = "deliverable",
  month       = "July",
  URL         = {https://5gclarity.com/wp-content/uploads/2021/10/5G-CLARITY_D23.pdf},
  project     = {5gclarity}

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms", J. Ordonez-Lucena, O. Adamuz-Hinojosa, P. Ameigeiras, L. Chinchilla-Romero, P. Munoz-Luengo, J. Navarro-Ortiz, J. Prados-Garzon, J. J. Ramos-Munoz, D. Camps-Mur, F. Canellas, J. Perez-Romero, O. Sallent, I. Vila, A. Purwita, A. Yesilkaya, A. Garcia, K. Chackravaram, E. Aumayr, J. Mcnamara, C. Colman-Meixner, X. Zhou, A. Emami, S. Yan, S. Raju, R. Bian, T. Cogalan, I. Hemadeh, M. Ghoraishi, 5G-CLARITY, 2021

@techreport{5GCLARITYD42,

  author      = "J. Ordonez-Lucena and O. Adamuz-Hinojosa and P. Ameigeiras and L. Chinchilla-Romero and P. Munoz-Luengo and J. Navarro-Ortiz and J. Prados-Garzon and J. J. Ramos-Munoz and D. Camps-Mur and F. Canellas and J. Perez-Romero and O. Sallent and I. Vila and A. Purwita and A. Yesilkaya and A. Garcia and K. Chackravaram and E. Aumayr and J. Mcnamara and C. Colman-Meixner and X. Zhou and A. Emami and S. Yan and S. Raju and R. Bian and T. Cogalan and I. Hemadeh and M. Ghoraishi",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms",
  institution = "5G-CLARITY",
  year        = "2021",
  type        = "deliverable",
  month       = "July",
  URL         = {https://5gclarity.com/wp-content/uploads/2021/11/5G-CLARITY_D42.pdf},
  project     = {5gclarity}

}

"Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.1. Initial design of the SDN/NFV platform and identification of target 5G-CLARITY ML algorithms", D. Camps-Mur, H. Khalili, E. Aumayr, S. Meer, P. Ameigeiras, J. Prados-Garzon, O. Adamuz-Hinojosa, L. Chinchilla, P. Munoz, A. Mourad, I. Hemadeh, T. Cogalan, M. Goodarzi, J. Gutierrez, V. Sark, N. Odhah, R. Bian, S. Videv, A. Garcia, C. Colman-Meixner, S. Yan, X. Zou, J. Perez-Romero, O. Sallent, I. Vila, R. Ferrus, J. Ordonez-Lucena, M. Ghoraishi, 5G-CLARITY, 2020

@techreport{5GCLARITYD41,

  author      = "D. {Camps-Mur} and H. Khalili and E. Aumayr and S. Meer and P. Ameigeiras and J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and L. Chinchilla and P. Munoz and A. Mourad and I. Hemadeh and T. Cogalan and M. Goodarzi and J. Gutierrez and V. Sark and N. Odhah and R. Bian and S. Videv and A. Garcia and C. {Colman-Meixner} and S. Yan and X. Zou and J. {Perez-Romero} and O. Sallent and I. Vila and R. Ferrus and J. {Ordonez-Lucena} and M. Ghoraishi",
  title       = "Project H2020 5G-CLARITY  (Grant No. 871428): Deliverable D4.1. Initial design of the {SDN}/{NFV} platform and identification of target {5G-CLARITY} {ML} algorithms",
  institution = "5G-CLARITY",
  year        = "2020",
  type        = "deliverable",
  month       = "October",
  URL         = {https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D41.pdf},
  project     = {5gclarity}

}

"Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista", Universidad de Granada, J. Caleya-Sanchez, J. Prados-Garzon, P. Ameigeiras, L. Chinchilla-Romero, P. Munoz-Luengo, J. M. Lopez-Soler, 2023

@patent{Caleya2023,

	title = {Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista},
	commenturl = {https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2003049354},
	language = {es},
	assignee = {Universidad de Granada},
	commenturldate = {2023-xx-xx},
	author = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Lopez-Soler, Juan M.},
	commentmonth = Jun,
	year = {2023},
  project = {6gchronos|true5g|5gclarity}

}