A Recursive Solution of Optimal Joint Transmit-receive Diversity Weight Vectors

Fumiyuki Adachi, Ryo Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Optimal joint transmit-receive diversity (JTRD) is a multi-input multi-output (MIMO) spatial diversity technique and is designed to maximize the composite channel gain. A set of optimal JTRD weight vectors is a solution of eigen-equations or is derived by applying the singular value decomposition of MIMO channel. In this paper, instead of solving eigen-equations, a recursive solution method for obtaining the optimal JTRD weight vectors is proposed. Also proposed is the JTRD weight vectors sharing between base station (BS) and user, which makes it possible that either of BS or user carries out the recursive solution method. It is confirmed by computer simulation assuming a single-user Rayleigh faded MIMO channel that the proposed recursive solution method can obtain the JTRD weight vectors by only about 3-5 times updating and can achieve the channel capacity almost identical to the optimal JTRD.

Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665482431
DOIs
Publication statusPublished - 2022
Event95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland
Duration: 2022 Jun 192022 Jun 22

Publication series

NameIEEE Vehicular Technology Conference
Volume2022-June
ISSN (Print)1550-2252

Conference

Conference95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Country/TerritoryFinland
CityHelsinki
Period22/6/1922/6/22

Keywords

  • eigen-equation
  • Joint transmit-receive diversity
  • MIMO channel
  • Rayleigh fading
  • recursive solution

Fingerprint

Dive into the research topics of 'A Recursive Solution of Optimal Joint Transmit-receive Diversity Weight Vectors'. Together they form a unique fingerprint.

Cite this