Geometry based efficient decoding algorithms for underdetermined MIMO systems

Chung Jung Huang*, Chih Yung Wu, Ta-Sung Lee

*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, a novel decoder for underdetermined MIMO systems with low decoding complexity is proposed. The development of the proposed decoder consists of two stages. First, an improved slab decoding algorithm efficiently obtains all valid candidate points within a given slab. Next, a multi-slab based decoding algorithm finds the optimal solution by conducting intersections on the obtained candidate set with dynamic radius adaptation. The proposed decoder offers the advantages of low computational complexity and near-ML decoding performance for underdetermined MIMO systems. Simulation results indicate that it effectively reduces the complexity as compared to existing decoders, especially for large antenna numbers and/or constellations.

Original languageEnglish
Title of host publication2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Pages386-390
Number of pages5
DOIs
StatePublished - 16 Sep 2011
Event2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011 - San Francisco, CA, United States
Duration: 26 Jun 201129 Jun 2011

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
CountryUnited States
CitySan Francisco, CA
Period26/06/1129/06/11

Keywords

  • maximum-likelihood (ML) detection
  • sphere decoding
  • underdetermined MIMO

Fingerprint Dive into the research topics of 'Geometry based efficient decoding algorithms for underdetermined MIMO systems'. Together they form a unique fingerprint.

Cite this