Title: Resource allocation for wireless networks based on enhanced Harris hawks optimisation algorithm

Authors: Xianmeng Meng; Cuicui Cai; Linglong Tan; Qijian Wang

Addresses: School of Electronics Engineering, Anhui Xinhua University, Hefei 230088, China; School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China ' School of Electronics and Information Engineering, West Anhui University, Lu'an 237012, China ' School of Electronics Engineering, Anhui Xinhua University, Hefei 230088, China ' School of Electronics Engineering, Anhui Xinhua University, Hefei 230088, China

Abstract: Efficient resource allocation is critical to improve the quality of service in wireless networks. The problem of resource allocation is usually non-convex and non-deterministic polynomial-hard. Meta-heuristic algorithms are widely used to solve non-convex optimisation problems due to their efficient execution and high iteration accuracy. The Harris hawk optimisation (HHO) algorithm has recently received attention as an effective approach for addressing various optimisation problems. However, the HHO algorithm is employed for resource allocation issues in WNs and suffers from early convergence and local optimal problems. To overcome these issues, we develop a novel enhanced HHO (EHHO) algorithm with low computational complexity and explore the performance of the EHHO in resource allocation. Firstly, we introduce the power allocation for secrecy rate maximisation and spectrum efficiency trade-off in wireless networks. Then, the fundamental of the basic HHO algorithm is described, and the EHHO algorithm is proposed with nonlinear control update and local search strategies. Finally, we demonstrate the remarkable capabilities of the EHHO in terms of the benchmark functions and resource allocation in wireless networks.

Keywords: resource allocation; meta-heuristic optimisation; enhanced Harris hawks optimisation algorithm; secrecy rate; energy efficiency; spectral efficiency.

DOI: 10.1504/IJSN.2024.143764

International Journal of Security and Networks, 2024 Vol.19 No.4, pp.178 - 187

Received: 23 Sep 2024
Accepted: 10 Oct 2024
Published online: 06 Jan 2025 *

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