Power and Channel Optimal Allocation for Cognitive Radio Networks Based on Genetic Algorithm
Shunyi Zhang · Journal of Nanjing University of Posts and Telecommunications · 2012
Power control and channel allocation are central issues in the cognitive radio networks.Based on interference power model under imperfect spectrum sensing,an optimal mathematical model for common channel and power allocation is presented in this paper.The model is a mixed integer program and difficult to get a numerical resolution.So,an intelligent optimal allocation approach is proposed to overcome this difficulty.Firstly,using penalty function to simplify the mathematical model,a nonlinear programming function without constrains can be obtained.Then,an optimal allocation approach based on genetic algorithm is presented.The proposed concept is evaluated by a simulation example.The simulation results demonstrate that the proposed algorithm can achieve the jointly optimal allocation for power control and channel resource,reduce the power interference for the primary user,and reach the maximum throughput of cognitive users under imperfect spectrum sensing.