针对传统协作多点传输技术( CoMP)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 uplink Cooperated Multi Point(CoMP) system, a user properties based adaptive user grouping algorithm is proposed. By taking the users’ properties as parameters, the proposed algorithm could determine the number of groups with Min-Max distance measure method, then divide users into several groups with k-means method. Therefore, users are divided into several groups according to their properties. The simulation 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 the base station side facilitate improving the uplink sum capacity of the system.