On the BER Gap Between Optimal and Near-Optimal Detectors on Massive MIMO Systems

D. Ibarra, J. Minango, A. Flores, Pablo Minango
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Abstract

On massive MIMO (maMIMO) systems with a large number of antennas at the base station (BS) to serve singleantenna users, linear detectors, as zero forcing (ZF), can achieve the near-optimal bit error rate (BER) performance due to the asymptotically orthogonal maMIMO channel property. However, it is necessary to know under what circumstances, linear detectors can be considered as near-optimal for the design of maMIMO systems. To solve this problem, in this paper, we find out an upper bound for the BER performance gap between the optimal and the near-optimal detectors. This upper bound is a function of the maMIMO channel condition number and it only depends according to the relation between the number of BS antennas and users. Simulation results are used to demonstrate the validity of the upper bound for the BER gap between near-optimal and optimal detectors on maMIMO systems.
大规模MIMO系统中最优与近最优检测器的误码率差距
在大规模多输入多输出(MIMO)系统中,由于mimimo信道的渐近正交特性,线性检波器作为零强迫(zero forcing, ZF)可以获得接近最优的误码率(BER)性能。然而,有必要知道在什么情况下,线性检测器可以被认为是maMIMO系统设计的近最佳选择。为了解决这一问题,本文给出了最优检测器和近最优检测器之间误码率性能差距的上界。该上界是maMIMO信道条件数的函数,仅取决于BS天线数量与用户数量的关系。仿真结果验证了近似最优和最优检测器之间误码率差距上界在maMIMO系统中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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