Assigning Optimal Multi-Objective Model in Cognitive Radio Networks
Najwa Mohammed Jawad, Nahideh Derakhshanfard · Electrical engineering technical journal. · 2025
Radio cognitive technology is a promising solution for 5G communications, capable of addressing stringent spectrum requirements while offering cognitive capacity, reconfigurability, and adaptable transmission parameters. Its primary objectives include spectrum sensing, management, mobility, and sharing. In this study, a cellular telecommunications network is modeled using MATLAB, considering the roles of relays, communication paths, and network capacity. Traffic injection into data centers simulates the proposed strategy's performance. The best relay determination technique enhances data transmission rates, demonstrating that the proposed strategy reduces equipment and resource consumption by approximately 15% while optimizing network load balance. It identifies optimal paths, prioritizes packet transmission, and achieves up to 20% reduction in latency. Simulation results confirm the strategy's effectiveness in maximizing link utilization, improving load balancing, and enhancing network resource utilization. Additionally, the approach selects optimal routes based on user preferences while requiring fewer hardware resources, making it a practical and efficient solution for modern network challenges.