Research On Resource Management Based On Ultra Dense Network

As people's requirements for communication quality are getting higher and higher,5G ultra-dense network system has emerged.As one of the most important technologies in5 G key technologies,ultra-dense networks have been widely used in densely populated areas.This paper mainly studies the key technology of ultra-dense network,aiming at improving the system capacity and the user's service quality without increasing the system cost.Therefore,this paper has designed a small cell selection algorithm and resource management method for ultra-dense network as follows:Firstly,in the scenario that there are many small cells in ultra-dense networks,for the problem of new users choosing access in ultra-dense networks,this paper proposes a small cell selection algorithm based on Nash bargaining game,which is compared with the random access algorithm.The experimental results show that this algorithm not only improves the system capacity,but also improves the user's call quality,reduces the user's access waiting time,and improves the system's working efficiency.Secondly,in the resource allocation process of ultra-dense networks,this paper uses a dynamic distributed subcarrier allocation algorithm.The macro base station centralized control of resource allocation of all small cells brings a huge signaling overhead.Therefore,this paper improves the centralized control method and uses a distributed dynamic subcarrier allocation algorithm.The experimental results show that this algorithm not only improves the system capacity,but also the system subcarriers are optimally allocated to meet the user's service quality.Finally,for the power allocation problem of the system,this paper proposes a distributed optimal power allocation algorithm for convex optimization theory.By comparing and analyzing the complexity of the proposed algorithm and the complexity of the common centralized management algorithm,the simulation experiment results show that the proposed algorithm improves the overall system efficiency,reduces the signaling overhead of the resource,and increases the system's total capacity.The power allocation based on convex optimization theory has an optimal power distribution value and canreach a steady state,thus achieving a reasonable allocation of resources.