Outage probabilities of imperfect LCMV beamforming with dominant interferer cancellation

Hanyu Li, Yu Dong Yao, Jin Yu

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

Abstract

The outage probability performance of a wireless system with linear constrained minimum variance (LCMV) beamforming is investigated in this paper. LCMV beamforming is able to perfectly cancel a number of dominant interferers while other interferers remain. A simplified beamforming model is used to derive closed-form outage probability expressions considering the impact of LCMV beam patterns on various interferers. One important aspect of this paper is the consideration of the directions of arrivals (DOA) of the dominant interferers and the exact beam patterns in the outage performance evaluations of LCMV beamforming systems. Another aspect is that beamforming impairments such as DOA estimation errors are considered. Numerical results of the outage probability are presented to illustrate the impact of DOA's of the dominant interferers and the impact of beamforming impairments.

Original languageEnglish
Title of host publicationIEEE 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE
Pages1155-1158
Number of pages4
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications, MAPE 2007 - Hangzhou, China
Duration: 14 Aug 200717 Aug 2007

Publication series

NameIEEE 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE

Conference

Conference2007 IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications, MAPE 2007
Country/TerritoryChina
CityHangzhou
Period14/08/0717/08/07

Fingerprint

Dive into the research topics of 'Outage probabilities of imperfect LCMV beamforming with dominant interferer cancellation'. Together they form a unique fingerprint.

Cite this