Distributed demand management in smart grid with a congestion game C Ibars, M Navarro, L Giupponi 2010 First IEEE International Conference on Smart Grid Communications, 495-500, 2010 | 287 | 2010 |
A novel on-demand cognitive pilot channel enabling dynamic spectrum allocation J Pérez-Romero, O Sallent, R Agustí, L Giupponi 2007 2nd IEEE international symposium on new frontiers in dynamic spectrum …, 2007 | 275 | 2007 |
Distributed Q-learning for aggregated interference control in cognitive radio networks A Galindo-Serrano, L Giupponi IEEE Transactions on Vehicular Technology 59 (4), 1823-1834, 2010 | 270 | 2010 |
From 4G to 5G: Self-organized network management meets machine learning J Moysen, L Giupponi Computer Communications 129, 248-268, 2018 | 254 | 2018 |
An E2E simulator for 5G NR networks N Patriciello, S Lagen, B Bojovic, L Giupponi Simulation Modelling Practice and Theory 96, 101933, 2019 | 210 | 2019 |
Mobile traffic prediction from raw data using LSTM networks HD Trinh, L Giupponi, P Dini 2018 IEEE 29th annual international symposium on personal, indoor and mobile …, 2018 | 202 | 2018 |
Fuzzy-based spectrum handoff in cognitive radio networks L Giupponi, AI Pérez-Neira 2008 3rd International Conference on Cognitive Radio Oriented Wireless …, 2008 | 174 | 2008 |
New radio beam-based access to unlicensed spectrum: Design challenges and solutions S Lagen, L Giupponi, S Goyal, N Patriciello, B Bojović, A Demir, M Beluri IEEE Communications Surveys & Tutorials 22 (1), 8-37, 2019 | 163 | 2019 |
3GPP NR V2X mode 2: Overview, models and system-level evaluation Z Ali, S Lagén, L Giupponi, R Rouil IEEE Access 9, 89554-89579, 2021 | 151 | 2021 |
A cell outage management framework for dense heterogeneous networks O Onireti, A Zoha, J Moysen, A Imran, L Giupponi, MA Imran, ... IEEE Transactions on Vehicular Technology 65 (4), 2097-2113, 2015 | 151 | 2015 |
A novel approach for joint radio resource management based on fuzzy neural methodology L Giupponi, R Agusti, J Perez-Romero, OS Roig IEEE Transactions on Vehicular Technology 57 (3), 1789-1805, 2008 | 146 | 2008 |
A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework R Agusti, O Sallent, J Pérez-Romero, L Giupponi First International Conference on Quality of Service in Heterogeneous Wired …, 2004 | 128 | 2004 |
Distributed Q-learning for interference control in OFDMA-based femtocell networks A Galindo-Serrano, L Giupponi 2010 IEEE 71st vehicular technology conference, 1-5, 2010 | 116 | 2010 |
New radio physical layer abstraction for system-level simulations of 5G networks S Lagen, K Wanuga, H Elkotby, S Goyal, N Patriciello, L Giupponi ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020 | 108 | 2020 |
NR-U and IEEE 802.11 technologies coexistence in unlicensed mmWave spectrum: Models and evaluation N Patriciello, S Lagen, B Bojović, L Giupponi IEEE access 8, 71254-71271, 2020 | 100 | 2020 |
A novel joint radio resource management approach with reinforcement learning mechanisms L Giupponi, R Agusti, J Pérez-Romero, O Sallent PCCC 2005. 24th IEEE International Performance, Computing, and …, 2005 | 94 | 2005 |
Docitive networks: an emerging paradigm for dynamic spectrum management [dynamic spectrum management] L Giupponi, A Galindo-Serrano, P Blasco, M Dohler IEEE Wireless Communications 17 (4), 47-54, 2010 | 85 | 2010 |
Joint radio resource management algorithm for multi-RAT networks L Giupponi, R Agusti, J Pérez-Romero, O Sallent GLOBECOM'05. IEEE Global Telecommunications Conference, 2005. 6, 5 pp.-3855, 2005 | 80 | 2005 |
Machine learning based handover management for improved QoE in LTE Z Ali, N Baldo, J Mangues-Bafalluy, L Giupponi NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 794-798, 2016 | 76 | 2016 |
Detecting mobile traffic anomalies through physical control channel fingerprinting: A deep semi-supervised approach HD Trinh, E Zeydan, L Giupponi, P Dini IEEE Access 7, 152187-152201, 2019 | 67 | 2019 |