An integrated performance, energy, and QoS evaluation of traffic-aware 5G mmWave small-cell networks under realistic urban assumptions
DOI:
https://doi.org/10.19139/soic-2310-5070-4284Keywords:
5G, millimeter wave, small cells, energy efficiency, beamforming, traffic-aware networks.Abstract
The extraordinary and rapid growth in mobile service demand has resulted in increasingly dense base station deployments across cellular communication generations from 2G to 5G. Although base station densification improves cellular networks capacity, it also introduces significant energy consumption, extra infrastructure, and increasing operational costs. This paper presents a framework for intelligent base station reduction that integrates realistic path loss models, and time-varying traffic control. Unlike traditional fixed-radius planning, we apply Free Space and COST-231 Hata propagation models to determine coverage feasibility, enabling accurate estimation of the required number of base station under both ideal and urban conditions. An adaptive algorithm is used to iteratively select base station sites based on residual traffic demand and signal attenuation. A dynamic switching control is implemented to deactivate underutilized base stations during low-traffic and enhancing energy efficiency.Downloads
Published
2026-07-21
How to Cite
AL-jaff, S. K., Hammas, H. A., Hamid, Z. A., khani, H. I., & Ghanim, M. (2026). An integrated performance, energy, and QoS evaluation of traffic-aware 5G mmWave small-cell networks under realistic urban assumptions. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-4284
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Copyright (c) 2026 Sazan K AL-jaff, Hussain. A. Hammas, Zaid Ali Hamid, Halah I. khani, Mustafa Ghanim
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