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Nicola Piovesan
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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
124*2022
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
652018
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
312018
Data Analytics for Smart Parking Applications
N Piovesan, L Turi, E Toigo, B Martinez, M Rossi
Sensors 16 (10), 1575, 2016
312016
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
292020
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
232022
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
222019
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
192019
Optimal Direct Load Control of Renewable Powered Small Cells: A Shortest Path Approach
N Piovesan, P Dini
Internet Technology Letters 1 (1), e7, 2018
192018
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
112021
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
112019
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
82020
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
72021
Large Language Models for Telecom: Forthcoming Impact on the Industry
A Maatouk, N Piovesan, F Ayed, A De Domenico, M Debbah
arXiv preprint arXiv:2308.06013, 2023
62023
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
A Maatouk, F Ayed, N Piovesan, A De Domenico, M Debbah, ZQ Luo
arXiv preprint arXiv:2310.15051, 2023
42023
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era
T Song, D Lopez, M Meo, N Piovesan, D Renga
arXiv preprint arXiv:2307.00969, 2023
42023
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
42021
A novel metric for mMIMO base station association for aerial highway systems
M Bernabè, D López-Pérez, N Piovesan, G Geraci, D Gesbert
2023 IEEE International Conference on Communications Workshops (ICC …, 2023
32023
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
32023
Unsupervised Learning of Representations from Solar Energy Data
N Piovesan, P Dini
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile …, 2018
32018
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