Antenna Grouping Based Feedback Compression for FDD-Based Massive MIMO Systems

Byungju Lee, Junil Choi, Ji Yun Seol, David J. Love, Byonghyo Shim

Research output: Contribution to journalArticle

60 Citations (Scopus)

Abstract

Recent works on massive multiple-input multiple-output (MIMO) have shown that a potential breakthrough in capacity gains can be achieved by deploying a very large number of antennas at the base station. In order to achieve the performance that massive MIMO systems promise, accurate transmit-side channel state information (CSI) should be available at the base station. While transmit-side CSI can be obtained by employing channel reciprocity in time division duplexing (TDD) systems, explicit feedback of CSI from the user terminal to the base station is needed for frequency division duplexing (FDD) systems. In this paper, we propose an antenna grouping based feedback reduction technique for FDD-based massive MIMO systems. The proposed algorithm, dubbed antenna group beamforming (AGB), maps multiple correlated antenna elements to a single representative value using predesigned patterns. The proposed method modifies the feedback packet by introducing the concept of a header to select a suitable group pattern and a payload to quantize the reduced dimension channel vector. Simulation results show that the proposed method achieves significant feedback overhead reduction over conventional approach performing the vector quantization of whole channel vector under the same target sum rate requirement.

Original languageEnglish
Article number7166317
Pages (from-to)3261-3274
Number of pages14
JournalIEEE Transactions on Communications
Volume63
Issue number9
DOIs
Publication statusPublished - 2015 Sep 1
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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