Optimized Channel Utilization for Mobile Wireless Networks Using Artificial Searching Swarm Algorithm

A. Y. Zubairu, Hafiz I. Hassan, Izuagbe Solomon Momoh

Abstract


Over the years, mobile cellular communication has gained an enormous technological development. The demand for bandwidth and multiple accesses to the transmission medium has increased due to new requirements from multimedia services and the expansion of the number of users. Thus, research efforts have been made to improve the efficiency of the channel reuse allocation which is widely employed as a key strategy to manage the limited frequency spectrum allocated to mobile cellular communication users. Therefore, this research has presented the development of an optimized wireless channel utilization in a mobile cellular communication network using the artificial searching swarm optimization algorithm. The artificial searching swarm algorithm is an optimization algorithm that was inspired by the collective behaviours of biological organisms. A total of 40 cellular channels were employed for the development of the mobile cellular environment which was implemented in the MATLAB R2020a simulation platform. Call blocking probability and probability of handoff calls were employed as performance metrics. Simulation results were evaluated under different populations (10, 20 and 40 individuals) of searching swarm. Results show that the proposed model can minimize the call blocking probability and probability of handoff calls efficiently. The call blocking probability of less than 30% was obtained when the population of the searching swarm was 40 individuals. A similar result was obtained for blocking the probability of handoff calls. These results indicate the validity of the proposed approach.

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References


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