Abstract

Challenges associated with contention handling in cognitive radio environment includes spectrum underutilization, interference, and fairness in spectrum utilization. The proposed model provided leverages on M/G/1/K queuing model, providing a theoretical foundation for optimizing contention resolution. Through the First-come First-serve (FCFS) algorithm, the model ensures equitable access to the spectrum, prioritizing the first arriving users. To validate the efficacy of the proposed model, Matlab and Minitab software were employed for simulation and statistical analysis. The simulation results not only demonstrate the model's effectiveness in mitigating contention issues but also provide insights into system performance under various scenarios. This research contributes to the advancement of cognitive radio networks by offering a robust contention resolution model supported by empirical evidence from Matlab and Minitab simulations. The integration of these software tools enhances the reliability and practicality of the proposed solutions, making them valuable for designing efficient and fair cognitive radio communication systems. Above all, the model and process will contribute in helping Nigerian Communication Commission (NCC) and other Dynamic Spectrum Usage functionaries in analyzing and optimizing the contention resolution process for the effective utilization of available spectrum resources in dynamic cognitive radio environment.