Particle Swarm Optimization for Dynamic Channel Allocation in IEEE 802.11 WLAN Networks: Mini mizing Co-Channel Interference

This paper introduces a dynamic channel-assignment algorithm to minimize interference among Access Points (APs) in Wireless Local Area Networks (WLANs). The algorithm utilises Particle Swarm Optimisation (PSO) to efficiently optimise channel allocation, ensuring a positive Signal-to-Interference Ratio (SIR) and Signal-to-Noise Ratio (SNR) for all users, thereby guarantee ing reliable communication. The process commences with an ini tial channel assignment, followed by iterative refinement using PSO to reduce inter-AP interference. PSO is employed to accu rately compute SIR and SNR values for each user, thereby provid ing a precise assessment of signal quality. Experimental results demonstrate substantial improvements in both SIR and network throughput, confirming the algorithm's effectiveness in reducing interference. Furthermore, the proposed approach is adaptable to various WLAN scenarios, making it suitable for diverse user dis tributions and network loads, thereby ensuring wide-ranging ap plicability in real-world settings.