Advanced Resource Allocation in Multicell D2D Communication through Archimedes Optimization
Advanced Resource Allocation in Multicell D2D Communication through Archimedes Optimization |
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© 2025 by IJETT Journal | ||
Volume-73 Issue-3 |
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Year of Publication : 2025 | ||
Author : Priyanka Patil, Vaibhav Hendre |
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DOI : 10.14445/22315381/IJETT-V73I3P137 |
How to Cite?
Priyanka Patil, Vaibhav Hendre, "Advanced Resource Allocation in Multicell D2D Communication through Archimedes Optimization," International Journal of Engineering Trends and Technology, vol. 73, no. 3, pp. 531-539, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I3P137
Abstract
The transition to 5G networks challenges managing resources for Device-To-Device (D2D) communication within cellular systems. While D2D offers efficiency benefits, D2D communication can improve spectrum efficiency, increase system capacity, and reduce base station communication. Interference problems are the most challenging area in D2D communication. Efforts in research have intensified to address interference concerns and optimise the allocation of shared cellular resources. The focus is on devising strategies and algorithms that strike a balance between enabling the benefits of D2D communication and minimising interference to an acceptable level. This paper introduces a new algorithm to resolve co-channel interference issues and optimise energy efficiency within a Long-Term Evolution (LTE) network. The increasing difficulty and complexity of real-world numerical optimisation problems require highly efficient optimisation methods. While numerous metaheuristic approaches exist, only a select few have gained recognition in the research community. In this research work, a novel metaheuristic algorithm, the Archimedes Optimisation Algorithm (AOA), is analysed and designed to solve optimisation problems using a fuzzy clustering method that divides D2D users into groups based on minimising outage probability. This approach aims to enhance system throughput and mitigate interference among users. The overall sum rate of 12.20bps/Hz is achieved by the AoA-based D2D resource allocation mechanism. Compared with Particle Swarm Optimisation (PSO), the system achieves the highest sum rate in low SNR regions.
Keywords
Resource Allocation, Sum rate, Archimedes Optimization Algorithm (AOA), Device-To-Device (D2D), Particle Swarm Optimisation (PSO).
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