Channel quantization algorithm for MIMO interference alignment with limited feedback

Jin Sung Kim, Sung Hyun Moon, Sang Rim Lee, Inkyu Lee

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

3 Citations (Scopus)

Abstract

When perfect channel state information (CSI) is available at each transmitter in K-user multiple-input multiple-output (MIMO) interference channels, it was shown that interference alignment (IA) achieves a full spatial multiplexing gain. However, a significant performance loss is inevitable in the IA when the CSI is fed back from receivers using the limited number of feedback bits. In this paper, we propose a new channel quantization strategy to optimize the performance of the IA with limited feedback. In our proposed scheme, we introduce an additional receive filter to minimize the chordal distance which accounts for the quantization error on Grassmann manifold. Simulation results verify that the proposed scheme provides substantially better performance than the conventional method as the number of feedback bits is increased. We show that our scheme exhibits 30% and 40% sum rate gains compared to the conventional scheme when the numbers of the feedback bits are 10 and 15, respectively, with two antennas per node.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages4252-4256
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: 2012 Jun 102012 Jun 15

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2012 IEEE International Conference on Communications, ICC 2012
CountryCanada
CityOttawa, ON
Period12/6/1012/6/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Channel quantization algorithm for MIMO interference alignment with limited feedback'. Together they form a unique fingerprint.

Cite this