Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading

Feng Li*, Q. T. Zhang, S. H. Song

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

1 Citation (Scopus)

Abstract

Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function forming a solid basis for optimizing the optimal input covariance matrix. This new derivative expression enables us to further develop an efficient iterative algorithm for determining the optimal eigenvalues. The technique is illustrated through numerical examples.

Original languageEnglish
Title of host publication2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Pages1928-1932
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China
Duration: 11 Mar 200715 Mar 2007

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Country/TerritoryChina
CityKowloon
Period11/03/0715/03/07

Keywords

  • Channel capacity
  • Channel covariance matrix
  • Multiple-input-single-output (MISO) channel
  • Newton-Raphson method

Fingerprint

Dive into the research topics of 'Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading'. Together they form a unique fingerprint.

Cite this