Optimised Sleep Mode Activation in Cellular Networks: A Practical Case Study

This paper explores the feasibility of applying sleep-mode strategies in a realistic RAN network, using a deployment scenario from a local MNO as a case study. By modelling spatially correlated shadowing and 3GPP-compliant path loss, we evaluate individual and combined eNB coverage under both optimized and sequential activation schemes. Results show that optimisation significantly improves coverage at low activation levels, achieving near-complete service with fewer active sites. A fitted similarity model characterizes convergence between the two approaches, introducing a deployment-specific parameter α that helps guide practical energy-saving decisions based on traffic load. The proposed method offers both performance gains and planning insights for dynamic, energy-aware RAN control.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-06
DOI
https://doi.org/10.22214/ijraset.2025.70200
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimised Sleep Mode Activation in Cellular Networks: A Practical Case Study

Salahedin Rehan
International Journal for Research in Applied Science and Engineering Technology
Advanced MIMO Systems Optimization
article

Optimised Sleep Mode Activation in Cellular Networks: A Practical Case Study

Salahedin Rehan
article en

Abstract

This paper explores the feasibility of applying sleep-mode strategies in a realistic RAN network, using a deployment scenario from a local MNO as a case study. By modelling spatially correlated shadowing and 3GPP-compliant path loss, we evaluate individual and combined eNB coverage under both optimized and sequential activation schemes. Results show that optimisation significantly improves coverage at low activation levels, achieving near-complete service with fewer active sites. A fitted similarity model characterizes convergence between the two approaches, introducing a deployment-specific parameter α that helps guide practical energy-saving decisions based on traffic load. The proposed method offers both performance gains and planning insights for dynamic, energy-aware RAN control.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Al Zawiya University (LY)
Openalex Percentile: Top 92%
Advanced MIMO Systems Optimization
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