Selective MIMO Diversity with Subcarrier-wise UE Antenna Identification/Selection

Fumiyuki Adachi, Amnart Boonkajay

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

Abstract

One of the promising techniques to achieve good bit error rate (BER) performance in a fading environment is the spatial diversity. In general, user equipment (UE) is equipped with only a few antennas due to its spatial limitation, while a large number of antennas can be equipped at the base station (BS). In this paper, we introduce a selective multi-input multi-output (MIMO) spatial diversity with subcarrier-wise UE antenna identification and selection. Maximal-ratio transmit frequency-domain equalization (MRT-FDE) and minimum mean square error combining FDE (MMSEC-FDE) are used for the orthogonal frequency-division multiplexing (OFDM) downlink and the single-carrier (SC) uplink, respectively. Computer simulation confirms that, without introducing space-time block coded transmit diversity (STBC-TD), additional diversity gain can be obtained by selective MIMO diversity.

Original languageEnglish
Title of host publication2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
PublisherIEEE Computer Society
Pages25-30
Number of pages6
ISBN (Electronic)9781538657577
DOIs
Publication statusPublished - 2018 Jul 2
Event21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 - Chiang Rai, Thailand
Duration: 2018 Nov 252018 Nov 28

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2018-November
ISSN (Print)1347-6890

Conference

Conference21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
CountryThailand
CityChiang Rai
Period18/11/2518/11/28

Keywords

  • MIMO diversity
  • antenna selection
  • channel estimation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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