New simple capacity estimation method for multiuser block diagonalization transmission

Riichi Kudo, Yasushi Takatori, Atsushi Ohta, Kentaro Nishimori, Snuji Kubota

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

1 Citation (Scopus)

Abstract

The multiple input multiple output (MIMO) technique enables the application of spatial multiplexing as a way of increasing the spectrum efficiency. However, only a few antenna branches are allowed at a simple mobile terminal (MT) and the MIMO effect is limited for those MTs. Multiuser (MU)-MIMO techniques were proposed to support such simple terminals to overcome such problems. Among them, the block diagonalization algorithm is well known as a practical linear precoding technique for downlink in the MU-MIMO systems. Because the number of users supported by the access point is limited and the improvement in the spectrum efficiency greatly depends on the combination of spatially multiplexed user, a simple transmission performance estimation method is needed. In this paper, we propose a new capacity estimation method for MU-MIMO systems. The proposed method estimates the achievable bit rate in MU-MIMO while significantly reducing the calculation load compared to that for direct estimation in the block diagonalization algorithm. Theoretical analysis and the simulation results confirm the validity of the proposed method.

Original languageEnglish
Title of host publication2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Pages1836-1840
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring - Dublin, Ireland
Duration: 2007 Apr 222007 Apr 25

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Country/TerritoryIreland
CityDublin
Period07/4/2207/4/25

ASJC Scopus subject areas

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

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