QoS-Aware and Energy-Efficient Network Design for Green Wireless Communication

With the sharp rise in the number of devices and high data rate demand, the concepts of cell splitting and frequency reuse have become integral to cellular communication. However, these strategies increase the number of base stations, which in turn raises radiation levels and energy consumption. Consequently, green network design has become an important aspect of cellular communication. GREEN NETWORK stands for Globally Resource Optimized Energy Efficient Network; this research focuses on optimal resource allocation for creating an energy-efficient cellular network with improved performance. By switching-off some base stations during non-peak hours, significant energy efficiency can be achieved. We developed an adaptive base station switch-off algorithm that selects a low traffic, medium traffic, or high traffic switch-off method based on current traffic conditions. During low and medium traffic conditions, switching-off some of the existing base stations significantly saves power without affecting quality of service (QoS).

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-12-11
DOI
https://doi.org/10.52783/cana.v32.2740
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

QoS-Aware and Energy-Efficient Network Design for Green Wireless Communication

Duda Sudhakar
Communications on Applied Nonlinear Analysis
Advanced MIMO Systems Optimization
article

QoS-Aware and Energy-Efficient Network Design for Green Wireless Communication

Duda Sudhakar
article en

Abstract

With the sharp rise in the number of devices and high data rate demand, the concepts of cell splitting and frequency reuse have become integral to cellular communication. However, these strategies increase the number of base stations, which in turn raises radiation levels and energy consumption. Consequently, green network design has become an important aspect of cellular communication. GREEN NETWORK stands for Globally Resource Optimized Energy Efficient Network; this research focuses on optimal resource allocation for creating an energy-efficient cellular network with improved performance. By switching-off some base stations during non-peak hours, significant energy efficiency can be achieved. We developed an adaptive base station switch-off algorithm that selects a low traffic, medium traffic, or high traffic switch-off method based on current traffic conditions. During low and medium traffic conditions, switching-off some of the existing base stations significantly saves power without affecting quality of service (QoS).

Communications on Applied Nonlinear AnalysisVol. 32(4s)
Openalex Percentile: Top 76%
Advanced MIMO Systems Optimization
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