Title: Interference suppression algorithm for wireless communication network

Authors: Peng Yan; Yunjian Jia

Addresses: Sichuan Technology and Business University, Chengdu, Sichuan, China ' Chongqing University, Chongqing, China

Abstract: This paper examines the co-frequency full-duplex and multi-user systems of full-duplex relay stations, focusing on interference cancellation model design and application algorithms. Three adaptive algorithms - Least Mean Squares (LMS), Normalised Least Mean Squares (NLMS), and Recursive Least Squares (RLS) - are introduced and analysed. Special emphasis is placed on LMS-based interference reconstruction and elimination in digital self-interference suppression. The study explores challenges in wireless communication technology development under big data and proposes optimisation strategies for network deployment, planning, and performance enhancement. The findings offer practical guidance for interference suppression algorithms in wireless communication networks, particularly within the context of big data and edge computing.

Keywords: edge computing; big data analysis; wireless network; interference suppression algorithm; communication model.

DOI: 10.1504/IJWMC.2025.149198

International Journal of Wireless and Mobile Computing, 2025 Vol.29 No.4, pp.311 - 325

Received: 18 Apr 2024
Accepted: 21 Nov 2024
Published online: 17 Oct 2025 *

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