A Self-Calibration Scheme for TDD Massive MIMO with Imperfect Channel Estimation

Mi, D., Zhang, L. , Dianati, M., Muhaidat, S. and Xiao, P. (2018) A Self-Calibration Scheme for TDD Massive MIMO with Imperfect Channel Estimation. In: 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Sheffield, UK, 8-11 July 2018, pp. 89-93. ISBN 9781538647530 (doi: 10.1109/SAM.2018.8448522)

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Exploiting channel reciprocity, time-division-duplexing (TDD) operated massive multiple-input multiple-output (MIMO) systems are able to acquire the channel state information with a reasonable overhead of channel estimation. However, in practical scenarios, the imperfections in channel reciprocity can significantly degrade the system performance. In this work, we propose a novel self calibration scheme for the maximum ratio transmission in TDD multi-user massive MIMO systems to compensate for the imperfect channel reciprocity, with considerations of imperfect channel estimation. The proposed scheme shows the greater robustness to a compound effect of channel reciprocity error and channel estimation error, compared with the traditional self calibration scheme that is widely used in massive MIMO systems.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Zhang, Professor Lei
Authors: Mi, D., Zhang, L., Dianati, M., Muhaidat, S., and Xiao, P.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
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