CoMP上行链路基于属性的自适应分组算法

Property based adaptive grouping algorithm in uplink Co MP

针对传统协作多点传输技术(Co MP)系统的上行链路用户配对算法在实际系统中存在系统整体效率不高的问题,提出了一种基于用户属性的自适应分组算法。该算法以可量化的用户属性为参数,通过最小最大原则确定分组数量,利用k-means方法进行用户聚类,实现了对小区中用户的按属性自适应分组,增加了同时传输的用户数量,将基站侧多天线的数量优势转化为上行传输性能,提高了系统上行和容量。仿真结果表明,所提算法能够有效提高系统的上行和容量,且在低信噪比(SNR)条件下仍可以获得预期的性能提升。

Aiming at the low efficiency problem of the traditional paring method used in the uplinkCooperated Multi Point(CoMP) system, a user properties based adaptive user grouping algorithm isproposed. By taking the users’ properties as parameters, the proposed algorithm could determine thenumber of groups with Min-Max distance measure method, then divide users into several groups withk-means method. Therefore, users are divided into several groups according to their properties. Thesimulation results show that the proposed algorithm can increase the uplink sum capacity of the system,and it is still effective even under low Signal to Noise Ratio(SNR). The advantages of multi-antenna at thebase station side facilitate improving the uplink sum capacity of the system.