Multi-Switch for Antenna Selection in Massive MIMO

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

Massive MIMO has been shown to greatly improve spectral and transmit-energy efficiency. When implementing a massive MIMO system, one challenge is high hardware complexity. A solution is to reduce the number of radio frequency (RF) transceiver chains by performing antenna selection. However, a full RF switch that connects the antennas and RF chains can be highly complex and incurs significant loss in output signal quality, especially when the number of antennas and RF chains are large. We therefore propose a simpler solution - binary switching architecture, which is sub-optimal but provides better signal quality, as compared to the full switching network. To evaluate the proposed technique, we compare the sum-rate capacity when using several different configurations of binary switching with the performance of the full switching. Full MIMO performance obtained without antenna selection is also presented as a reference. The investigations in this paper are all
based on measured channel data at 2.6 GHz, using a uniform linear array and a cylindrical array, both having 128 antenna elements. It is found that the proposed binary switching gives very competitive performance that are close to the full switching, for the measured channels. The results indicate a potential to simplify massive MIMO hardware by reducing the number of RF chains, and performing antenna selection with simple binary switching architecture.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Communication Systems
  • Signal Processing

Keywords

  • Massive MIMO, multi-user MIMO, antenna selection, switching network, channel capacity, sum-rate, linear precoding, system complexity, spatial degrees of freedom, channel measurements
Original languageEnglish
Title of host publicationProc. 2015 IEEE Global Communications Conference, ISBN: 978-147995952-5
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages6
Publication statusPublished - 2015 Dec 6
Publication categoryResearch
Peer-reviewedYes
EventIEEE Global Communication Conference (GLOBECOM), 2015 - San Diego, San Diego, California, United States
Duration: 2015 Dec 62015 Dec 10

Conference

ConferenceIEEE Global Communication Conference (GLOBECOM), 2015
CountryUnited States
CitySan Diego, California
Period2015/12/062015/12/10

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