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Uplink Sum-Rate and Power Scaling Laws for Multi-User Massive MIMO-FBMC Systems
IEEE Transactions on Communications ( IF 7.2 ) Pub Date : 2020-01-01 , DOI: 10.1109/tcomm.2019.2950216
Prem Singh , Himanshu B. Mishra , Aditya K. Jagannatham , K. Vasudevan , Lajos Hanzo

This paper analyses the performance of filter bank multicarrier (FBMC) signaling in conjunction with offset quadrature amplitude modulation (OQAM) in multi-user (MU) massive multiple-input multiple-output (MIMO) systems. Initially, closed form expressions are derived for tight lower bounds corresponding to the achievable uplink sum-rates for FBMC-based single-cell MU massive MIMO systems relying on maximum ratio combining (MRC), zero forcing (ZF) and minimum mean square error (MMSE) receiver processing with/without perfect channel state information (CSI) at the base station (BS). This is achieved by exploiting the statistical properties of the intrinsic interference that is characteristic of FBMC systems. Analytical results are also developed for power scaling in the uplink of MU massive MIMO-FBMC systems. The above analysis of the achievable sum-rates and corresponding power scaling laws is subsequently extended to multi-cell scenarios considering both perfect as well as imperfect CSI, and the effect of pilot contamination. The delay-spread-induced performance erosion imposed on the linear processing aided BS receiver is numerically quantified by simulations. Numerical results are presented to demonstrate the close match between our analysis and simulations, and to illustrate and compare the performance of FBMC and traditional orthogonal frequency division multiplexing (OFDM)-based MU massive MIMO systems.

中文翻译:

多用户大规模 MIMO-FBMC 系统的上行和速率和功率缩放定律

本文分析了滤波器组多载波 (FBMC) 信令与偏移正交幅度调制 (OQAM) 在多用户 (MU) 大规模多输入多输出 (MIMO) 系统中的性能。最初,根据最大比率组合 (MRC)、迫零 (ZF) 和最小均方误差 (ZF) 和基于 FBMC 的单小区 MU 大规模 MIMO 系统可实现的上行链路总和速率,推导出紧下界的封闭形式表达式。 MMSE) 在基站 (BS) 有/没有完美信道状态信息 (CSI) 的接收机处理。这是通过利用作为 FBMC 系统特征的固有干扰的统计特性来实现的。还为 MU 大规模 MIMO-FBMC 系统的上行链路中的功率缩放开发了分析结果。对可实现的总速率和相应的功率缩放定律的上述分析随后扩展到多小区场景,同时考虑了完美和不完美的 CSI 以及导频污染的影响。施加在线性处理辅助 BS 接收器上的延迟扩展引起的性能侵蚀通过模拟进行了数值量化。给出的数值结果证明了我们的分析和模拟之间的密切匹配,并说明和比较了 FBMC 和传统的基于正交频分复用 (OFDM) 的 MU 大规模 MIMO 系统的性能。施加在线性处理辅助 BS 接收器上的延迟扩展引起的性能侵蚀通过模拟进行了数值量化。给出的数值结果证明了我们的分析和模拟之间的密切匹配,并说明和比较了 FBMC 和传统的基于正交频分复用 (OFDM) 的 MU 大规模 MIMO 系统的性能。施加在线性处理辅助 BS 接收器上的延迟扩展引起的性能侵蚀通过模拟进行了数值量化。给出的数值结果证明了我们的分析和模拟之间的密切匹配,并说明和比较了 FBMC 和传统的基于正交频分复用 (OFDM) 的 MU 大规模 MIMO 系统的性能。
更新日期:2020-01-01
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