83 citations · 107 across the 11 of their papers we have counts for
12 papers
Large Language Models for Telecom: Forthcoming Impact on the Industry
Ali Maatouk, Nicola Piovesan, Fadhel Ayed +2
Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing field…
Energy efficient cell-free massive MIMO on 5G deployments: sleep modes strategies and user stream management
F. Riera-Palou, G. Femenias, D. López-Pérez +2
This paper proposes the utilization of cell-free massive MIMO (CF-M-MIMO) processing on top of the regular micro/macrocellular deployments typically found in current 5G networks. T…
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez +1
In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine learning (ML) models to facilitate their usage in future smart infrastructures based on c…
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…
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…
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…