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针对有限反馈多输入多输出(MIMO)系统中用户选择问题,提出了一种新的用户选择方法。首先推导出采用迫零波束赋形(ZFBF)预编码时容量损失上限,证明了最小容量损失与最大和容量优化目标的一致性。在此基础上给出了基于最小容量损失的用户选择方法,该方法以信道量化误差为选择依据进行用户筛选。与现有算法相比,降低了算法的复杂度,减少了反馈CQI带来的系统开销。仿真和分析表明,所提方法改善了系统和容量性能。
Aiming at the problem of user selection in the limited feedback multiple input multiple output (MIMO) system, a new user selection method is proposed. First of all, the upper limit of the capacity loss when using zero-forcing beamforming (ZFBF) precoding is deduced. It is proved that the minimum capacity loss is consistent with the goal of maximum and capacity optimization. Based on this, the user selection method based on the minimum capacity loss is given. This method uses the channel quantization error as the basis for user selection. Compared with the existing algorithms, the complexity of the algorithm is reduced and the system overhead caused by feedback CQI is reduced. Simulation and analysis show that the proposed method improves system and capacity performance.