83 citations · 186 across the 27 of their papers we have counts for
9 papers · 1 filter
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability
Theodore S. Rappaport, Mingjun Ying, Nicola Piovesan +2
This paper introduces Waste Factor (W), also denoted as Waste Figure (WF) in dB, a promising new metric for quantifying energy efficiency in a wide range of circuits and systems ap…
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era
Tailai Song, David Lopez, Michela Meo +2
The rapidly evolving communication landscape, with the advent of 6G technology, brings new challenges to the design and operation of wireless networks. One of the key concerns is t…
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…
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…
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells
Dagnachew A. Temesgene, Nicola Piovesan, Marco Miozzo +1
Flexible functional split in Cloud Radio Access Network (CRAN) greatly overcomes fronthaul capacity and latency challenges. In such architecture, part of the baseband processing is…
Energy sustainable paradigms and methods for future mobile networks: A survey
Nicola Piovesan, Angel Fernandez Gambin, Marco Miozzo +2
In this survey, we discuss the role of energy in the design of future mobile networks and, in particular, we advocate and elaborate on the use of energy harvesting (EH) hardware as…
Cooperative Localization in WSNs: a Hybrid Convex/non-Convex Solution
Nicola Piovesan, Tomaso Erseghe
We propose an efficient solution to peer-to-peer localization in a wireless sensor network which works in two stages. At the first stage the optimization problem is relaxed into a…