Machine learning and analytical power consumption models for 5G base stations

N Piovesan, D López-Pérez… - IEEE …, 2022 - ieeexplore.ieee.org
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 tractable …

An analytical energy performance evaluation methodology for 5G base stations

SKG Peesapati, M Olsson, M Masoudi… - … on wireless and …, 2021 - ieeexplore.ieee.org
The implementation of various base station (BS) energy saving (ES) features and the widely
varying network traffic demand makes it imperative to quantitatively evaluate the energy …

Evaluation and projection of 4G and 5G RAN energy footprints: The case of Belgium for 2020–2025

L Golard, J Louveaux, D Bol - Annals of Telecommunications, 2023 - Springer
Energy consumption of mobile cellular communications is mainly due to base stations (BSs)
that constitute radio access networks (RANs). 5G technologies are expected to improve the …

A review of machine learning techniques for enhanced energy efficient 5G and 6G communications

TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …

Toward energy-efficient 5G wireless communications technologies: Tools for decoupling the scaling of networks from the growth of operating power

RLG Cavalcante, S Stanczak… - IEEE Signal …, 2014 - ieeexplore.ieee.org
The densification and expansion of wireless networks pose new challenges on energy
efficiency. With a drastic increase of infrastructure nodes (eg ultradense deployment of small …

Use of Machine Learning for energy efficiency in present and future mobile networks

D Sesto-Castilla, E Garcia-Villegas… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
Given the current evolution trends in mobile cellular networks, which is approaching us
towards the future 5G paradigm, novel techniques for network management are in the …

GreenBSN: Enabling energy-proportional cellular base station networks

C Peng, SB Lee, S Lu, H Luo - IEEE Transactions on Mobile …, 2014 - ieeexplore.ieee.org
Base station (BS) networks in 3G cellular infrastructure do not consume energy in proportion
to their carried traffic load. Our measurements show that the 3G traffic exhibits high …

Modeling and analysis of data and coverage energy efficiency for different demographic areas in 5G networks

J Lorincz, Z Klarin, D Begusic - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
It is expected that fifth-generation (5G) mobile networks will need to accommodate vast data
traffic volumes. The practical implementation of 5G networks is further challenged by the …

Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions

A Mughees, M Tahir, MA Sheikh, A Ahad - Ieee Access, 2020 - ieeexplore.ieee.org
As the world pushes toward the use of greener technology and minimizes energy waste,
energy efficiency in the wireless network has become more critical than ever. The next …

Enabling network power savings in 5G-advanced and beyond

T Islam, D Lee, SS Lim - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Energy consumption is a critical concern for the 5G mobile operators. 5G NR network may
have increased energy consumption compared to its predecessors as it aims to support a …