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针对三小区多用户MIMO干扰信道系统,通过一个启发性例子,联合设计发射预编码矩阵和接收赋形矩阵,给出基于特征向量闭式解的干扰对齐优化算法,相比已有干扰对齐算法,用户端可使用更少的天线资源获得相同的自由度性能,且只需本小区内用户协作共享信道信息;并归纳出普适场景下系统配置与可达自由度之间的关系:设定每个小区中的基站配置M根天线和K个用户,用户配置N根天线,各个基站对本小区中每个用户都发送d个数据流,当M=N≥2Kd时,所提算法总共可获得3Kd个自由度。所提算法可以完全消除小区间干扰和用户间干扰,相比传统的正交化干扰抑制算法,系统容量得到了明显地提升。
For a three-cell multi-user MIMO interference channel system, an enlightening example is given to jointly design a transmitting precoding matrix and a receiving matrix, and an interference alignment optimization algorithm based on the closed-form solution of the eigenvectors is provided. Compared with the existing interference alignment algorithm, The user terminal can use fewer antenna resources to obtain the same degree of freedom performance, and only the users in the cell cooperatively share the channel information; and the relationship between the system configuration and the degree of freedom reachable in a universal scenario can be summarized as follows: The base stations in a cell are configured with M antennas and K users. The user configures N antennas, and each base station sends d data streams to each user in the cell. When M = N≥2Kd, the proposed algorithm can obtain a total of 3Kd A degree of freedom. The proposed algorithm can completely eliminate inter-cell interference and inter-user interference. Compared with the traditional orthogonalization interference suppression algorithm, the system capacity has been significantly improved.