Antenna group selection based user scheduling for massive MIMO systems

Byungju Lee, Lua Ngo, Byonghyo Shim

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

15 Citations (Scopus)

Abstract

Accurate transmit-side channel state information (CSI) is essential for achieving optimal performance of large-scale multiple-input multiple-output (MIMO) systems. However, due to high dimensionality of the massive MIMO systems, large overhead of the uplink CSI feedback is a big concern for frequency division duplexing (FDD) systems. In this paper, we propose antenna group scheduling (AGS) algorithm that combines antenna selection and user scheduling for pursuing further reduction in feedback overhead. The AGS method selects the antenna group with the maximum channel gain to reduce the dimension of channel vector and schedules users in the group maximizing the sum rate. Simulation results demonstrate that the proposed technique achieves significant feedback overhead reduction over the conventional beamforming techniques (33%∼50%) under the same target sum rate requirement.

Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3302-3307
Number of pages6
ISBN (Print)9781479935116
DOIs
Publication statusPublished - 2014 Feb 9
Externally publishedYes
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 2014 Dec 82014 Dec 12

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period14/12/814/12/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

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  • Cite this

    Lee, B., Ngo, L., & Shim, B. (2014). Antenna group selection based user scheduling for massive MIMO systems. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 3302-3307). [7037316] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037316