IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516

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Channel Estimation and Achievable Rate of Massive MU-MIMO Systems with IQ Imbalance
Nana ZHANGHuarui YINWeidong WANGSuhua TANG
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ジャーナル 認証あり 早期公開

論文ID: 2018TTP0001

この記事には本公開記事があります。
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In-phase and quadrature-phase imbalance (IQI) at transceivers is one of the serious hardware impairments degrading system performance. In this paper, we study the overall performance of massive multi-user multi-input multi-output (MU-MIMO) systems with IQI at both the base station (BS) and user equipments (UEs), including the estimation of channel state information, required at the BS for the precoding design. We also adopt a widely-linear precoding based on the real-valued channel model to make better use of the image components of the received signal created by IQI. Of particular importance, we propose estimators of the real-valued channel and derive the closed-form expression of the achievable downlink rate. Both the analytical and simulation results show that IQI at the UEs limits the dowlink rate to finite ceilings even when an infinite number of BS antennas is available, and the results also prove that the widely-linear precoding based on the proposed channel estimation method can improve the overall performance of massive MU-MIMO systems with IQI.

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© 2019 The Institute of Electronics, Information and Communication Engineers
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