非完美频谱感知下认知超密集网络的资源分配OA北大核心CSTPCD

Aiming at the situation of imperfect spectrum sensing of cognitive radio in actual cognitive ultra-dense network sce-narios,this paper proposed a resource allocation scheme based on imperfect spectrum sensing.The target was to maximize the energy efficiency of secondary network in cognitive ultra-dense network with imperfect spectrum sensing while taking into ac-count cross-tier/co-tier interference constraints and ensuring users'quality of service.And this paper constructed the energy efficiency optimization problem based on the network model,which was a mixed integer non-convex programming problem,then transformed it into an equivalent convex optimization problem by the time-sharing relaxation method and Dinkelbach me-thod,and finally used the Lagrangian dual method to get its optimal solution,thereby obtained the sub-channel and power allo-cation strategy for optimal energy efficiency.Based on this,this paper proposed an iterative sub-channel and power allocation algorithm.In order to trade off the computational complexity,this paper also proposed a practical sub-channel and power allo-cation algorithm.Simulation results show that the proposed algorithms effectively improve energy efficiency.