基于可视区域降维的超大规模MIMO传输性能分析

Performance analysis of extremely large-scale massive MIMO transmission with visible region-based dimensionality reduction

针对基于用户可视区域(visible region,VR)降维的超大规模MIMO(extremely large-scale massive multiple-input multiple-output,XL-MIMO)传输性能展开研究。首先,基于天线阵列绝对能量阈值和相对能量集中度两种准则,对XL-MIMO系统中的用户VR统计分布进行了比较与仿真分析,讨论了其VR分布参数与系统参数之间的关系。然后,进一步研究了基于VR降维信道的最大比传输(maximum ratio transmission,MRT)方案性能,详细分析了其性能增益来源,并对VR判定相关系数的优化设计,以及多用户位置对性能的影响进行了讨论。结果表明:利用VR降维可有效降低传输开销和复杂度,但在基于VR的最大比传输多用户传输中,存在接收能量减少和用户间干扰之间的权衡;最优权衡的取得需要VR定义、用户调度联合优化设计。最后,总结全文并对未来研究方向进行展望。

This study focuses on the transmission performance of extremely large-scale massive multiple-input multiple-output(XL-MIMO)systems based on user visible region(VR)dimensionality reduction.Initially,the statistical distribution of user VRs in XL-MIMO systems is compared and analyzed through simulations,using two criteria:absolute antenna array energy threshold and relative energy concentration.The relationship between VR distribution parameters and system parameters is discussed.Subsequently,the performance of maximum ratio transmission(MRT)schemes based on VR-dimension-reduced channels is extensively analyzed,including the sources of performance gains,optimization design related to VR determination coefficients,and the impact of multiple user positions.Results indicate that VR dimensionality reduction effectively reduces transmission overhead and complexity,but a trade-off exists in VR-based MRT for multiple users between reduced reception energy and inter-user interference.Achieving optimal balance requires a joint optimization design of VR definition and user scheduling.Finally,the paper concludes with a summary and an outlook on future research directions.