Mutil-Cell Clustering Collaboration Technology Research In CoMP System

In order to guarantee the performance of cell edge users and to meet the explosive growth need of data service, Coordinated Multiple Points (CoMP, Coordinated Multiple Points) technology has become a key technology of the evolution of wireless network. Clustering technology and resource allocation technology are two major supporting points of the Coordinated Multiple Points technology, however, at present multi-cell clustering and the wireless resource optimization still Cann’t meet the demand of reception quality and speed of the cell edge users, system performance is also faced with severe challenges. This paper mainly studies the multi-cell clustering cooperation technology research in CoMP system. The main contributions are as follows:For the aspect to improve the performance of multi-cell edge user, we propose an adaptive semi-dynamic iterative clustering scheduling algorithm of the CoMP system which is based on greedy algorithm, so as to maximize the system capacity and improve the efficiency of network transmission. The clustering algorithm consists of three parts. Firstly, a user collaboration threshold is proposed to ensure the minimum SINR of multi-cell user. Secondly, a semi-dynamic clustering framework is established, which is defined as the Pre-Line stage and Under-Line stage. Finally, in the Pre-Line stage, according to whether the user SINR under a single base station service is greater than the size of the use collaboration threshold or not to determine whether the user is the collaboration user. And then in the Under-Line stage, according to the location, a preliminary cooperation set is selected, in which to determine the optimal clustering scheduling policy subject to maximize the system capacity. Simulation results show that this method can effectively improve the performance of cell edge users and enhance the user data rate.According to resource allocation problem of the multi-cell clustering network, we put forward a multi-cell iterative resource scheduling algorithm of the CoMP system under loopback capacity limitation, so as to maximize the system energy efficiency and improve the network performance. The resource scheduling algorithm consists of four parts. Firstly, the system model and loopback model are established, and the weighted system capacity is obtained which is based on SINR. Secondly, we use the transmission power of each base station as the constraint, and the energy efficiency which is the ratio of maximizing the weighted total system capacity and the total consumed energy of the system as the objective function. Then, under the case of loopback capacity, we transform the energy efficiency problem from fractional form to subtractive form, and then maximize the equivalent energy efficiency. Finally, through the dual decomposition methods and joint subcarrier and power allocation, we can maximize the objective function and achieve the optimal resource allocation. Simulation results show that the iterative resource scheduling algorithm can largely improve the efficiency of system energy effectively.