A practical channel estimation scheme for indoor 60GHz massive MIMO systems via array signal processing

Dian Fan, Feifei Gao, Gongpu Wang, Zhangdui Zhong, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

3 Citations (Scopus)

Abstract

This paper proposes a practical channel estimation scheme for downlink 60GHz indoor systems with the massive uniform rectangular array (URA) at base station (BS). Through array signal processing theory, the parameter of each channel
path can be decomposed into the angular information and the channel gain information that can be estimated separately. We first prove that the 2-dimensional Discrete Fourier transform (2D-DFT) can be applied to efficiently estimate the angular information. Then, the channel gain information could be easily obtained with small amount of training resources in a linear manner. Interestingly, since uplink and the downlink angular information is reciprocal, the proposed method applicable for both TDD and FDD systems. Simulation results are provided to corroborate the proposed studies.
Original languageEnglish
Title of host publicationIEEE Proceedings of ICC'2017
PublisherIEEE
DOIs
Publication statusAccepted/In press - May 2017

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