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为了实现在系统总人数大于基站发送天线数条件下,对多小区系统中小区间和小区内用户干扰同时抑制的目的,提出一种基于迫零算法的分布式波束成形的用户选择算法.算法将整体用户分为可一同参与迫零算法和不可一同参与的两类,并利用信道之间的弦距去选择可一同参与迫零算法的用户,实现波束成形向量与未参与迫零的本地信道之间的准正交,同时分析和证明了该算法的有效性.仿真结果表明,新算法在不同发送天线数和总用户数条件下,其吞吐率性能均优于传统算法.
In order to achieve simultaneous suppression of user interference in small cells and small cells in a multi-cell system under the condition that the total number of system antennas is larger than the number of transmitting antennas of the base station, a distributed user-selection algorithm based on zero-forcing algorithm for distributed beamforming is proposed. The users are divided into two types that can participate in the zero-forcing algorithm together and can not participate together, and the chord between channels is used to select the users who can join the zero-forcing algorithm together to realize the correlation between the beamforming vectors and local channels that are not participating in zero-forcing The results of simulation show that the throughput of the new algorithm is better than that of the traditional algorithm under different transmission antenna numbers and total number of users.