Near optimum multiuser detection with closest lattice point search

Byonghyo Shim, Insung Kang

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

1 Citation (Scopus)

Abstract

In this paper, we consider a low-complexity multiuser detection for downlink of high speed packet access (HSPA) system. Instead of attempting to perform the maximum likelihood (ML) detection of all users in multiple cells, which is impractical for battery powered mobile receiver, we utilize interference cancelled chips obtained from iterative linear minimum mean square error (LMMSE) estimation to perform a near ML detection in a reduced dimensional system. As a result, the worst case complexity of the detection process, achieved by the closest lattice point search (CLPS), is bounded to a controllable level irrespective of multipath spans. Further, by exploiting the LMMSE estimate in tightening the hypersphere condition of the CLPS algorithm so called sphere decoding, we achieve significant improvement in search complexity. From the simulations on realistic downlink communication scenario in HSPA systems, we show that the proposed method offers substantial performance gain over conventional receiver algorithms with implementable complexity.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Communications, ICC 2011
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: 2011 Jun 52011 Jun 9

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2011 IEEE International Conference on Communications, ICC 2011
CountryJapan
CityKyoto
Period11/6/511/6/9

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Shim, B., & Kang, I. (2011). Near optimum multiuser detection with closest lattice point search. In 2011 IEEE International Conference on Communications, ICC 2011 [5963308] (IEEE International Conference on Communications). https://doi.org/10.1109/icc.2011.5963308