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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
2412022
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
862018
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
552022
Large language models for telecom: Forthcoming impact on the industry
A Maatouk, N Piovesan, F Ayed, A De Domenico, M Debbah
IEEE Communications Magazine, 2024
522024
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
462020
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
372023
Data Analytics for Smart Parking Applications
N Piovesan, L Turi, E Toigo, B Martinez, M Rossi
Sensors 16 (10), 1575, 2016
362016
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
352018
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
272019
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
252019
Optimal Direct Load Control of Renewable Powered Small Cells: A Shortest Path Approach
N Piovesan, P Dini
Internet Technology Letters 1 (1), e7, 2018
202018
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications
AL Bornea, F Ayed, A De Domenico, N Piovesan, A Maatouk
arXiv preprint arXiv:2404.15939, 2024
172024
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
142021
High altitude platform stations: the new network energy efficiency enabler in the 6G Era
T Song, D Lopez, M Meo, N Piovesan, D Renga
2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024
132024
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
132019
Telecom language models: Must they be large?
N Piovesan, A De Domenicoo, F Ayed
2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio …, 2024
102024
Linguistic Intelligence in Large Language Models for Telecommunications
T Ahmed, N Piovesan, A De Domenico, S Choudhury
arXiv preprint arXiv:2402.15818, 2024
102024
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach
N Piovesan, D López-Pérez, A De Domenico, X Geng, H Bao
ICC 2023-IEEE International Conference on Communications, 3633-3638, 2023
102023
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
92021
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
D López-Pérez, A De Domenico, N Piovesan, M Debbah
IEEE Transactions on Machine Learning in Communications and Networking, 2024
82024
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