An Optimal Power Allocation Algorithm for Cognitive Radio Networks Based on Maximum Rate and Interference Constraint
Hongyan Chu, Liting Xu, Yuexin Liu · Ingénierie des systèmes d information · 2019
This paper puts forward an optimal power allocation algorithm based on maximum rate and interference constraint, aiming to solve the shortage of spectrum resources and enhance spectrum utilization efficiency and channel data rate in cognitive radio (CR) networks.Specifically, the maximization of successful bit transfer rate was converted into a convex optimization problem using the cognitive relay system model, and then the optimal power allocation plan was derived under the Karush-Kuhn-Tucker (KKT) conditions.The proposed algorithm was compared with another two algorithms through simulation experimental simulation.The results show that our algorithm outperformed the contrastive algorithms in channel utilization rate.The proposed algorithm can reduce the outage probability, increase the overall data rate and enhance channel utilization of CR networks.