Channel feedback based on AoD-adaptive subspace codebook in FDD massive MIMO systems

Wenqian Shen, Linglong Dai, Byonghyo Shim, Zhaocheng Wang, Robert W. Heath

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. Unfortunately, prior work on multiuser MIMO has shown that the feedback overhead scales linearly with the number of base station (BS) antennas, which is large in massive MIMO systems. To reduce the feedback overhead, we propose an angle-of-departure (AoD) adaptive subspace codebook for channel feedback in FDD massive MIMO systems. Our key insight is to leverage the observation that path AoDs vary more slowly than the path gains. Within the angle coherence time, by utilizing the constant AoD information, the proposed AoD-adaptive subspace codebook is able to quantize the channel vector in a more accurate way. From the performance analysis, we show that the feedback overhead of the proposed codebook only scales linearly with a small number of dominant (path) AoDs instead of the large number of BS antennas. Moreover, we compare the proposed quantized feedback technique using the AoD-adaptive subspace codebook with a comparable analog feedback method. Extensive simulations show that the proposed AoD-adaptive subspace codebook achieves good channel feedback quality, while requiring low overhead.

Original languageEnglish
Article number8392731
Pages (from-to)5235-5248
Number of pages14
JournalIEEE Transactions on Communications
Volume66
Issue number11
DOIs
Publication statusPublished - 2018 Nov

Keywords

  • AoD
  • FDD
  • Massive MIMO
  • channel feedback
  • subspace codebook

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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