下行多点协作传输系统中基于大尺度信道的协作用户选择

Cooperative User Selection Based on Large Scale Channel Information in Downlink Coordinated Multi-Point Transmission Systems

研究下行多点协作传输系统中的协作用户选择问题。首先分析下行多基站协作系统中空域满复用服务多用户的必要性,而后研究满复用传输时的协作用户选择方法,被选为一组的用户在相同的时频资源上由多个基站以协作空分多址的方式服务。分析表明,每个被服务用户的平均接收信干噪比与相邻协作小区内被服务用户的大尺度信干比成递增关系。在此基础上,提出一种基于大尺度信干比的协作用户选择方法。仿真结果表明,与现有基于大尺度信道信息的用户选择方法相比,所提出的方法以较小的小区平均数据率损失为代价,大幅度提升了小区边缘用户数据率。

Cooperative user selection is studied for downlink coordinated multi-point transmission systems.We first argue the necessity of full spatial multiplexing multi-user transmission for such systems,and then study the cooperative user selection algorithm to support full multiplexing,where the users selected as a group are served together on the same time and frequency resources by multiple cooperative base stations.The average received signal to interference and noise ratio（SINR） is analyzed for each user in the concerned systems.It shows that each user＇s average received SINR is an increasing function of the large scale signal to interference ratio（SIR） of the users in neighboring cooperative cells.Based on this observation,a novel cooperative user selection algorithm is proposed based on the large scale SIR.Simulation results show that comparing with existing large scale channel information based cooperative user selection algorithms,the proposed algorithm significantly improves cell edge throughput with only minor cell average throughput reduction.