Improved K-best algorithm for low-complexity MIMO detector

Junmei Yang, Chuan Zhang, Xiaohu You, Shugong Xu

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

7 Citations (Scopus)

Abstract

In this paper, an improved K-best algorithm, which is suitable for low-complexity MIMO detector implementation is proposed. In order to balance the detector's bit-error-rate (BER) performance and computation complexity, several techniques, such as empirical path expansion and relaxed sorting have been proposed. Simulation results have shown that the proposed algorithm can achieve better computation efficiency while keep similar BER performance compared to the state-of-the-art ones. Furthermore, the corresponding detector MIMO architecture is also proposed.

Original languageEnglish
Title of host publication2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479973392
DOIs
Publication statusPublished - 18 Dec 2014
Externally publishedYes
Event2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014 - Hefei, China
Duration: 23 Oct 201425 Oct 2014

Publication series

Name2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014

Conference

Conference2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014
Country/TerritoryChina
CityHefei
Period23/10/1425/10/14

Keywords

  • detector
  • K-best algorithm
  • Multi-input multi-output (MIMO)
  • relaxed sorting

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