An efficient feedback compression for large-scale MIMO systems

Byungju Lee, Byonghyo Shim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Large-scale multiple-input multiple-output(MIMO) systems with a large number of antennas at the basestation have drawn considerable interest because of potential ability to achieve high spectral efficiencies. In order to achieve optimal performance of large-scale MIMO systems, the basestation needs to know channel state information (CSI) perfectly. In terms of CSI acquisition, the basestation estimates the downlink channel through channel reciprocity in time division duplexing (TDD) or requires CSI feedback through the uplink in frequency division duplexing (FDD). Due to the large number of transmit antennas at the basestation, uplink CSI feedback would be a major hurdle in developing FDD large-scale MIMO systems. In this paper, we propose an efficient feedback compression technique for FDD large-scale MIMO systems. The proposed method reduces a dimension of vector quantization by grouping high correlated antenna elements. In fact, the proposed method invests a small portion of feedback resources to generate a grouped channel vector and the rest to quantize the grouped channel vector. Simulation results demonstrate that the proposed method achieves significant feedback overhead reduction over conventional methods.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-January
EditionJanuary
DOIs
Publication statusPublished - 2015 Jan 26
Event2014 79th IEEE Vehicular Technology Conference, VTC 2014-Spring - Seoul, Korea, Republic of
Duration: 2014 May 182014 May 21

Other

Other2014 79th IEEE Vehicular Technology Conference, VTC 2014-Spring
CountryKorea, Republic of
CitySeoul
Period14/5/1814/5/21

Fingerprint

Multiple-input multiple-output (MIMO) Systems
Large-scale Systems
Channel state information
Channel State Information
Compression
Division
Feedback
Antenna
Uplink
Antennas
Vector Quantization
Spectral Efficiency
Vector quantization
Reciprocity
Grouping
High Efficiency
Resources
Estimate
Demonstrate
Simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

Lee, B., & Shim, B. (2015). An efficient feedback compression for large-scale MIMO systems. In IEEE Vehicular Technology Conference (January ed., Vol. 2015-January). [7022817] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2014.7022817

An efficient feedback compression for large-scale MIMO systems. / Lee, Byungju; Shim, Byonghyo.

IEEE Vehicular Technology Conference. Vol. 2015-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2015. 7022817.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, B & Shim, B 2015, An efficient feedback compression for large-scale MIMO systems. in IEEE Vehicular Technology Conference. January edn, vol. 2015-January, 7022817, Institute of Electrical and Electronics Engineers Inc., 2014 79th IEEE Vehicular Technology Conference, VTC 2014-Spring, Seoul, Korea, Republic of, 14/5/18. https://doi.org/10.1109/VTCSpring.2014.7022817
Lee B, Shim B. An efficient feedback compression for large-scale MIMO systems. In IEEE Vehicular Technology Conference. January ed. Vol. 2015-January. Institute of Electrical and Electronics Engineers Inc. 2015. 7022817 https://doi.org/10.1109/VTCSpring.2014.7022817
Lee, Byungju ; Shim, Byonghyo. / An efficient feedback compression for large-scale MIMO systems. IEEE Vehicular Technology Conference. Vol. 2015-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2015.
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