Energy sustainable paradigms and methods for future mobile networks: A survey N Piovesan, AF Gambin, M Miozzo, M Rossi, P Dini Computer Communications 119, 101-117, 2018 | 53 | 2018 |
A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning D López-Pérez, A De Domenico, N Piovesan, G Xinli, H Bao, S Qitao, ... IEEE Communications Surveys & Tutorials 24 (1), 653-697, 2022 | 41* | 2022 |
Data Analytics for Smart Parking Applications N Piovesan, L Turi, E Toigo, B Martinez, M Rossi Sensors 16 (10), 1575, 2016 | 29 | 2016 |
Cooperative localization in WSNs: a hybrid convex/nonconvex solution N Piovesan, T Erseghe IEEE Transactions on Signal and Information Processing over Networks 4 (1 …, 2018 | 28 | 2018 |
Optimal Direct Load Control of Renewable Powered Small Cells: A Shortest Path Approach N Piovesan, P Dini Internet Technology Letters 1 (1), e7, 2018 | 19 | 2018 |
Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids N Piovesan, DA Temesgene, M Miozzo, P Dini IEEE Access 7, 31140-31150, 2019 | 18 | 2019 |
Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning M Miozzo, N Piovesan, P Dini IEEE Transactions on Green Communications and Networking 4 (1), 16-30, 2019 | 14 | 2019 |
Joint load control and energy sharing for renewable powered small base stations: a machine learning approach N Piovesan, D López-Pérez, M Miozzo, P Dini IEEE Transactions on Green Communications and Networking 5 (1), 512-525, 2020 | 13 | 2020 |
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells DA Temesgene, N Piovesan, M Miozzo, P Dini 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2019 | 9 | 2019 |
Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation D López–Pérez, A De Domenico, N Piovesan, X Geng, H Bao, M Debbah 2021 IEEE Global Communications Conference (GLOBECOM), 01-07, 2021 | 4 | 2021 |
Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations N Piovesan, M Miozzo, P Dini ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
Unsupervised Learning of Representations from Solar Energy Data N Piovesan, P Dini 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile …, 2018 | 3 | 2018 |
Machine Learning and Analytical Power Consumption Models for 5G Base Stations N Piovesan, D López-Pérez, A De Domenico, X Geng, H Bao, M Debbah IEEE Communications Magazine 60 (10), 56-62, 2022 | 2 | 2022 |
Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key N Piovesan, A De Domenico, M Bernabé, D López-Pérez, ... 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 2 | 2021 |
Optimal Direct Load Control of Renewable Powered Small Cells: Performance Evaluation and Bounds N Piovesan, M Miozzo, P Dini 2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018 | 2 | 2018 |
Modelling User Transfer during Dynamic Carrier Shutdown in Green 5G Networks A De Domenico, D López-Pérez, W Li, N Piovesan, H Bao, G Xinli IEEE Transactions on Wireless Communications, 2023 | | 2023 |
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach N Piovesan, D Lopez-Perez, A De Domenico, X Geng, H Bao arXiv preprint arXiv:2212.04318, 2022 | | 2022 |
Carrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems A Zappone, DL Pérez, A De Domenico, N Piovesan, H Bao GLOBECOM 2022-2022 IEEE Global Communications Conference, 1655-1660, 2022 | | 2022 |
Mobile Traffic Forecasting for Green 5G Networks N Piovesan, A De Domenico, D López-Pérez, H Bao, G Xinli, W Xie, ... 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | | 2021 |
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids M Miozzo, N Piovesan, DA Temesgene, P Dini Deep Learning for Unmanned Systems, 259-308, 2021 | | 2021 |