| 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 | 260 | 2007 |
| 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 | 250 | 2010 |
| 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 | 223 | 2010 |
| Fuzzy-based spectrum handoff in cognitive radio networks L Giupponi, AI Pérez-Neira 2008 3rd International Conference on Cognitive Radio Oriented Wireless …, 2008 | 159 | 2008 |
| 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 | 143 | 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 | 130 | 2004 |
| 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 | 107 | 2015 |
| From 4G to 5G: Self-organized network management meets machine learning J Moysen, L Giupponi Computer Communications 129, 248-268, 2018 | 105 | 2018 |
| 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 | 99 | 2010 |
| 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 | 89 | 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 | 83 | 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 | 81 | 2005 |
| Cognition and docition in OFDMA-based femtocell networks A Galindo-Serrano, L Giupponi, M Dohler 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-6, 2010 | 63 | 2010 |
| Distributed interference control in OFDMA-based femtocells L Giupponi, C Ibars 21st Annual IEEE International Symposium on Personal, Indoor and Mobile …, 2010 | 63 | 2010 |
| 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 | 57 | 2019 |
| Simulating LTE and Wi-Fi coexistence in unlicensed spectrum with ns-3 L Giupponi, T Henderson, B Bojovic, M Miozzo arXiv preprint arXiv:1604.06826, 2016 | 56 | 2016 |
| 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 | 55 | 2018 |
| Big data empowered self organized networks N Baldo, L Giupponi, J Mangues-Bafalluy European Wireless 2014; 20th European Wireless Conference, 1-8, 2014 | 53 | 2014 |
| An E2E simulator for 5G NR networks N Patriciello, S Lagen, B Bojovic, L Giupponi Simulation Modelling Practice and Theory 96, 101933, 2019 | 51 | 2019 |
| Improved decentralized Q-learning algorithm for interference reduction in LTE-femtocells M Simsek, A Czylwik, A Galindo-Serrano, L Giupponi 2011 Wireless Advanced, 138-143, 2011 | 49 | 2011 |
