RES-Aware User Allocation Procedure in 5G Networks

This paper investigates the influence of employing diverse operating algorithms in Base Stations (BSs) to distribute network traffic. The study focuses on a wireless system where half of the BSs are powered by Renewable Energy Sources (RES) such as Photovoltaic Panels (PVPs) and Wind Turbines (WTs). The aim is to diminish the energy demand from conventional infrastructure reliant on Conventional Energy Sources (CES) like fossil fuels. The research evaluates the Energy Efficiency (EE) factors of the entire wireless system using two User Association (UA) approaches. The first approach, the RES-aware Association Algorithm (RAA), prioritizes connecting mobile users to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">green</i> BSs. The second approach, the SNR-based (SNR – Signal-to-Noise Ratio) Association Algorithm (SAA), assigns users to BSs based on radio signal distribution. Results indicate a reduction in conventional energy usage and renewable energy loss, ultimately enhancing the EE of the examined Radio Access Network (RAN).

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Publication Details

Journal
IEEE Transactions on Communications
Published
2025-10-13
DOI
https://doi.org/10.1109/tcomm.2025.3621090
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

RES-Aware User Allocation Procedure in 5G Networks

Adrian Kliks, Margot Deruyck, Adam Samorzewski
IEEE Transactions on Communications
IoT and Edge/Fog Computing
article

RES-Aware User Allocation Procedure in 5G Networks

Adrian Kliks, Margot Deruyck, Adam Samorzewski
article en

Abstract

This paper investigates the influence of employing diverse operating algorithms in Base Stations (BSs) to distribute network traffic. The study focuses on a wireless system where half of the BSs are powered by Renewable Energy Sources (RES) such as Photovoltaic Panels (PVPs) and Wind Turbines (WTs). The aim is to diminish the energy demand from conventional infrastructure reliant on Conventional Energy Sources (CES) like fossil fuels. The research evaluates the Energy Efficiency (EE) factors of the entire wireless system using two User Association (UA) approaches. The first approach, the RES-aware Association Algorithm (RAA), prioritizes connecting mobile users to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">green</i> BSs. The second approach, the SNR-based (SNR – Signal-to-Noise Ratio) Association Algorithm (SAA), assigns users to BSs based on radio signal distribution. Results indicate a reduction in conventional energy usage and renewable energy loss, ultimately enhancing the EE of the examined Radio Access Network (RAN).

IEEE Transactions on CommunicationsVol. 74
Luleå University of Technology (SE), Ghent University Hospital (BE), Ghent University (BE), iMinds (BE), Poznań University of Technology (PL)
Openalex Percentile: Top 66%
IoT and Edge/Fog Computing
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RES-Aware User Allocation Procedure in 5G Networks — Adrian Kliks, Margot Deruyck, et al. · IEEE Transactions on Communications (2025) | TGRS Research Map | TGRS