A least mean square based algorithm to determine transmit and receive weights for eigenbeam MIMO systems

Takayuki Tominaga, Osamu Muta, Yoshihiko Akaiwa

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

Abstract

MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of channel autocorrelation matrix as transmit and receive weights. As a method to find these eigenvectors, eigenvalue decomposition or singular value decomposition (SVD) are generally well-known. In this paper, we propose a least mean square (LMS) based algorithm to find the transmit and receive weights without significant increase of computational complexity for E-MIMO system. Computer simulation shows that the proposed algorithm gives almost the same performance as that of SVD.

Original languageEnglish
Title of host publication2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
Pages782-786
Number of pages5
DOIs
Publication statusPublished - Jul 28 2008
Event2008 IEEE 67th Vehicular Technology Conference-Spring, VTC - Marina Bay, Singapore
Duration: May 11 2008May 14 2008

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
CountrySingapore
CityMarina Bay
Period5/11/085/14/08

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All Science Journal Classification (ASJC) codes

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

Cite this

Tominaga, T., Muta, O., & Akaiwa, Y. (2008). A least mean square based algorithm to determine transmit and receive weights for eigenbeam MIMO systems. In 2008 IEEE 67th Vehicular Technology Conference-Spring, VTC (pp. 782-786). [4525727] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECS.2008.171