Increased Traffic Efficiency in Green Communication by using a New Load Balancing Technique

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ID: 313143
2023
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Abstract
Remote control of critical infrastructure, vehicles, low latency, and mobile traffic speeds is the driving force behind the research in 5G networks. Deployment of an energy-efficient cloud radio access network (C-RAN) will be crucial to reduce electricity utilization and operating expense. This paper presents a novel method for load balancing based on the selection of dynamic points. This method emphasizes energy efficiency and quality output by minimum utilization of network utility grids. This proposed load-balancing approach tries to balance network services based on the base station (BS) coordination method in a cluster. Cel-sleep technology is intended to conserve energy by disconnecting weakly charged base stations (BS) in situations when traffic is low. The suggested CoMP algorithm for load balancing expertly manages resource allocation for new users and improves energy efficiency. System-level simulations show that the proposed design enables a scalable trade-off between radio efficiency and energy efficiency, reduces grid energy usage by 22%, and boosts the ES score by 32%.
Reference Key
imported_1777059387_69ebc63bc2302 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Yousouf Bashir
Journal Journal of Computing & Biomedical Informatics
Year 2023
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/189
Keywords Keywords not found

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