Beamspace channel estimation for 3D lens-based millimeter-wave massive MIMO systems

Xinyu Gao, Linglong Dai, Shuangfeng Han, I. Chih-Lin, Fumiyuki Adachi

研究成果: Conference contribution

14 被引用数 (Scopus)

抄録

Lens-based mmWave massive MIMO can significantly reduce the number of required RF chains without obvious performance loss, where the accurate information of beamspace channel is required. However, existing beamspace channel estimation schemes are based on the 2D beamspace channel model. In this paper, we consider the more general 3D beamspace channel model, and propose an adaptive support detection (ASD)-based channel estimation scheme. The basic idea is to decompose the 3D beamspace channel estimation problem into several sub-problems, and each one only deals with a sparse channel component. For each channel component, we first adaptively detect its support with high accuracy by exploiting the horizontal and vertical sparsity of 3D beamspace channel. Then, we remove the influence of this channel component to detect the support of the next channel component. After the support detections of all channel components, we can estimate the nonzero elements of the beamspace channel with low pilot overhead. Simulation results verify that the proposed scheme enjoys satisfying accuracy, even with low SNR.

本文言語English
ホスト出版物のタイトル2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509028603
DOI
出版ステータスPublished - 2016 11 21
イベント8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 - Yangzhou, China
継続期間: 2016 10 132016 10 15

出版物シリーズ

名前2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Other

Other8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
国/地域China
CityYangzhou
Period16/10/1316/10/15

ASJC Scopus subject areas

  • 信号処理
  • コンピュータ ネットワークおよび通信

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