Reciprocity-based cognitive transmissions using a MU massive MIMO approach

B. Kouassi, I. Ghauri, L. Deneire
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引用次数: 30

Abstract

Cognitive radio (CR) aims at enabling the coexistence between legacy systems called primary users (PU) and secondary users (SU), provided the SU do not (significantly) cause interference on PU links. Massive MIMO systems on the other hand yield significant performance and reliability enhancement. In this paper, we investigate the capacity of both PU and SU systems using multi-user (MU) massive MIMO and time division duplex (TDD). TDD indeed permits to estimate the channel state information (CSI) at the PU/SU transmitters to perform linear precoding, taking advantage of the channel reciprocity. The capacity is derived considering the CSI imperfections, the non-reciprocal radio frequency front-ends as well as antenna coupling effects. These impairments can be compensated using reciprocity calibration techniques we recently developed. Extending these techniques to MU massive MIMO, we evaluate interference cancellation precoders. Simulations reveal performance improvements using the massive MIMO reciprocity-based precoder in a CR approach.
基于互向性的MU大规模MIMO认知传输方法
认知无线电(CR)旨在使称为主用户(PU)和辅助用户(SU)的遗留系统能够共存,前提是这些系统不会(显著地)对主用户链路造成干扰。另一方面,大规模MIMO系统可以显著提高性能和可靠性。在本文中,我们研究了PU和SU系统使用多用户(MU)大规模MIMO和时分双工(TDD)的容量。TDD确实允许在PU/SU发射机上估计信道状态信息(CSI)来执行线性预编码,利用信道互易性。考虑了CSI缺陷、非互易射频前端和天线耦合效应,导出了容量。这些缺陷可以使用我们最近开发的互惠校准技术进行补偿。将这些技术扩展到MU大规模MIMO,我们评估了干扰抵消预编码器。仿真结果表明,在CR方法中使用基于互向性的大规模MIMO预编码器可以提高性能。
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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