Research On Radio Resource Management In Ultra Dense Networks

With the rapid development of wireless communication network and the burst of growth in terminals,the number of devices entering the network increases explosively,which brings new challenges to the network technology.Facing the present situation,5G needs to meet more flexible deployment,more diversified scenario and greatly enhance the network capacity.Ultra dense networks is an important solution to meet the challenges.The traditional wireless resource management can not adapt to the future network.,and it is very important to propose a wireless resource allocation scheme for ultra-dense network.Based on the existing research on wireless resource allocation in ultra-dense network,the paper does research on the small cell access problem for users and interference management.Aiming at the small cell access problem,a small cell access selection algorithm based on non-cooperative auction game is proposed,which uses the model of non-cooperative game to auction the access right of small cell and the small cell base station participates in the auction as a game player.Through their respective utility functions,the small cell offers a bid that maximizes its own interests and the user choices the cell which maximizes its utility function considering the bidding and the transmission rate.It is proved that the Nash equilibrium of the non-cooperative auction game algorithm exists.Finally,the simulation results show that the proposed algorithm can improve the user access success rate and the average transmission rate of users.A power allocation algorithm based on semi-dynamic clustering is proposed to solve the problem of serious interference between small cells.The algorithm combines clustering with interference coordination and determines cooperative users by SNR threshold.In the pre-cooperative cluster,the cooperative base station is found according to the interference degree,and the maximum interference power is transformed into the effective power.Taking the total throughput of the system as the objective function,the optimal value of power allocation is solved.Finally,the simulation results show that the proposed algorithm can reduce the interference and maximize the total throughput of the system.