Research On Users Scheduling Policy In Base Station Cooperation Communication System

The communication quality of users at the edge of cells is severely restricted by the interferencebetween adjacent cells in cellular networks. How to reduce or dispel interference between cells hasbecome an important subject in the field of communication. Base station cooperative communication,which is regarded as an effective technology for restraining the inference between cells, can combineall antennae of base stations in several adjacent cells and serve all users in these cells to make fulluse of multiple base stations, multiple antennae and multiple users, turn interference signals intouseful signals and improve the performance of communication systems greatly.Different users scheduling policies determine the system performance in base station cooperativecommunication system. The meaning of user scheduling is selecting user on each resource block anddetermining the service order for each user. In order to satisfy specific goals and requirements indifferent communication environments, a variety of scheduling policies for base station cooperativecommunication system has been proposed. In this paper, the problem of users scheduling in thedownlink of a general base station cooperative communication cellular network is researched. Thestudy includes the following two points:First, this paper describes the structure, conception, model and target of the base stationcooperative communication systems, explains the characteristics of wireless channel and introducesthe precoding technology and power control technology. Besides, brief analysis of traditional usersscheduling policies are also included in the paper.Second, this paper proposes three users scheduling policies based on different QoS(Quality ofService), QoE(Quality of Experience) and resource reservation respectively for the base stationcooperative communication systems aiming at increasing the users capacity to solve the problem thattraditional scheduling policies focus on the throughput unilaterally and ignore the fairness of users’services. Simulation results show that these scheduling policies can increase users capacity of thesystem greatly at the cost of a small reduction of throughput and improve the fairness heavily.