On robust weighted sum rate maximization for MIMO interfering broadcast channels with imperfect channel knowledge

Hyun Ho Lee, Young-Chai Ko, Hong Chuan Yang

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In this letter, we propose robust transceiver designs for MIMO interfering broadcast channels while taking imperfect channel knowledge into consideration. By exploiting the relationship between the weighted sum rate (WSR) and the weighted sum mean square error, we design a transceiver that maximizes WSR subject to per base station power constraint. We also develop a transceiver design with lower complexity than the WSR maximization transceiver by adopting the power constraint per user. From simulation results, we confirm the resilience of both the proposed designs against imperfect channel knowledge.

Original languageEnglish
Article number6515204
Pages (from-to)1156-1159
Number of pages4
JournalIEEE Communications Letters
Volume17
Issue number6
DOIs
Publication statusPublished - 2013 May 15

Fingerprint

Broadcast Channel
Weighted Sums
MIMO systems
Transceivers
Multiple-input multiple-output (MIMO)
Imperfect
Robust Design
Resilience
Mean square error
Base stations
Low Complexity
Maximise
Knowledge
Design
Simulation

Keywords

  • imperfect channel knowledge
  • MIMO interfering broadcast channels
  • weighted sum rate

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

On robust weighted sum rate maximization for MIMO interfering broadcast channels with imperfect channel knowledge. / Lee, Hyun Ho; Ko, Young-Chai; Yang, Hong Chuan.

In: IEEE Communications Letters, Vol. 17, No. 6, 6515204, 15.05.2013, p. 1156-1159.

Research output: Contribution to journalArticle

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