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20212023
most citedMachine Learning and Analytical Power Consumption Models for 5G Base Stations

83 citations · 100 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 14 cited

Energy Efficient Operation of Adaptive Massive MIMO 5G HetNets

Siddarth Marwaha, Eduard A. Jorswieck, Mostafa Jassim +4

For energy efficient operation of the massive multiple-input multiple-output (MIMO) networks, various aspects of energy efficiency maximization have been addressed, where a careful…

cs.IT2023

A Framework for the Evaluation of Network Reliability Under Periodic Demand

Ali Maatouk, Fadhel Ayed, Shi Biao +3

In this paper, we study network reliability in relation to a periodic time-dependent utility function that reflects the system's functional performance. When an anomaly occurs, the…

cs.NI2022★ 1 cited

Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach

Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +2

The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However, the energy consumpti…

cs.NI2022★ 83 cited

Machine Learning and Analytical Power Consumption Models for 5G Base Stations

Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +3

The energy consumption of the fifth generation(5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an accurate and tractabl…

cs.NI2021★ 2 cited

A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning

David Lopez-Perez, Antonio De Domenico, Nicola Piovesan +4

Cellular networks have changed the world we are living in, and the fifth generation (5G) of radio technology is expected to further revolutionise our everyday lives, by enabling a…