In this paper, the impacts of imperfect channel covariance matrix on the spectral efficiency (SE) of cell-free distributed massive multiple-input multiple-output (MIMO) systems are analyzed. We propose to estimate the channel covariance matrix by alternately using the assigned pilots and their phase-shifted pilots in different coherent blocks, which improves the accuracy of channel estimation with imperfect covariance matrix and reduces pilot overhead. Under this scheme, the closed-form expressions of SE with maximum ratio combination (MRC) and zero-forcing (ZF) receivers are derived, which enables us to select key parameters for better system performance. Simulation results verify the effectiveness of the proposed channel estimation method and the accuracy of the derived closed-form expressions. When more coherent blocks are used to estimate the covariance matrix, we can get better system performance. Moreover, some insightful conclusions are arrived at from the SE comparisons between different receiving schemes (ZF and MRC) and different pilot allocation schemes (orthogonal pilot and pilot reuse).
翻译:本文分析了无细胞分布式大量多投入多产出(MIMO)系统的光谱效率(SE)不完善的通道共变矩阵的影响。我们提议通过在不同连贯的区块中轮流使用指定的试点项目及其分阶段轮班试点项目来估算频道共变矩阵,这样可以提高频道估计的准确性,同时使用不完善的共变矩阵,并减少试点间接费用。根据这个办法,可以得出具有最大比率组合(MRC)和零强制(ZF)接收器的封闭式SE表达式,从而使我们能够选择关键参数来改进系统性能。模拟结果可以核实拟议频道估计方法的有效性和由此产生的封闭式表达器的准确性。在使用更一致的区块来估计共变矩阵时,我们可以获得更好的系统性能。此外,从SE对不同的接收方案(ZF和MRC)和不同的试点分配计划(横向试点和试点再利用)的比较中得出了一些深刻的结论。