Antenna grouping based feedback reduction for FDD-based massive MIMO systems

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

doi:10.1109/ICC.2014.6884026

Antenna grouping based feedback reduction for FDD-based massive MIMO systems

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

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 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 basestation. Although transmit-side channel state information (CSI) can be obtained by employing channel reciprocity in time division duplexing (TDD) systems, explicit feedback of CSI from the user to the basestation is required 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), groups antenna elements using pre-designed patterns. The proposed method introduces the concept of using a header of overall feedback resources to select a suitable group pattern and the payload to quantize the effective channel vector. Simulation results show that the proposed method achieves significant feedback overhead reduction over conventional approach.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications, ICC 2014
Publisher	IEEE Computer Society
Pages	4477-4482
Number of pages	6
ISBN (Print)	9781479920037
DOIs	https://doi.org/10.1109/ICC.2014.6884026
Publication status	Published - 2014 Jan 1
Event	2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia Duration: 2014 Jun 10 → 2014 Jun 14

Other

Other	2014 1st IEEE International Conference on Communications, ICC 2014
Country/Territory	Australia
City	Sydney, NSW
Period	14/6/10 → 14/6/14

ASJC Scopus subject areas

Computer Networks and Communications

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10.1109/ICC.2014.6884026

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Lee, B, Choi, J, Seol, JY, Love, DJ & Shim, B 2014, Antenna grouping based feedback reduction for FDD-based massive MIMO systems. in 2014 IEEE International Conference on Communications, ICC 2014., 6884026, IEEE Computer Society, pp. 4477-4482, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, Australia, 14/6/10. https://doi.org/10.1109/ICC.2014.6884026

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PY - 2014/1/1

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N2 - 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 basestation. Although transmit-side channel state information (CSI) can be obtained by employing channel reciprocity in time division duplexing (TDD) systems, explicit feedback of CSI from the user to the basestation is required 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), groups antenna elements using pre-designed patterns. The proposed method introduces the concept of using a header of overall feedback resources to select a suitable group pattern and the payload to quantize the effective channel vector. Simulation results show that the proposed method achieves significant feedback overhead reduction over conventional approach.

AB - 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 basestation. Although transmit-side channel state information (CSI) can be obtained by employing channel reciprocity in time division duplexing (TDD) systems, explicit feedback of CSI from the user to the basestation is required 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), groups antenna elements using pre-designed patterns. The proposed method introduces the concept of using a header of overall feedback resources to select a suitable group pattern and the payload to quantize the effective channel vector. Simulation results show that the proposed method achieves significant feedback overhead reduction over conventional approach.

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Antenna grouping based feedback reduction for FDD-based massive MIMO systems

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