PORA: A Proactive Optimal Resource Allocation Framework for Spectrum Management in Cognitive Radio Networks

Cognitive radio network with proactive resource allocation to identify unused spectrum bands and utilize them opportunistically is observed as an evolving technology to handle spectrum scarcity problem. However, it is a challenging problem to predict the accurate information about availability of unused resources due to randomness in licenced user appearance and high mobility at the cost of minimizing sensing time. To address this issue, we mathematically model the metrics like resource availability probability, resource allocation time, throughput, connection continuance probability, and the expected number of networks switching to propose a proactive optimal resource allocation (PORA) technique. Furthermore, the performance of proposed PORA technique is analysed under different traffic environments such as low, moderate, and high traffic. The results show that the proposed PORA technique addresses challenges related to providing resource allocation in proactive manner over the traditional techniques.