Tree search space reduction for soft-input soft-output sphere decoding in MIMO systems

Dan Zhang, I. Wei Lai, Gerd Ascheid

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

Abstract

For soft-input soft-output sphere decoding (SD), the combination of the Schnorr-Euchner (SE) enumeration and the radius reduction shrink the search space quickly but with considerable computational complexity. In this paper, a low complexity approach is proposed to reduce the tree search space before SD starts. Particularly, such reduction is achieved by 1) tightening the initial radius; 2) restricting the search space to a subset of the symbol lattice. With further enhancement on the tree pruning constraint, simulation results demonstrate significant complexity savings with negligible error rate performance loss.

Original languageEnglish
Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
DOIs
Publication statusPublished - 2011 Aug 29
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: 2011 May 152011 May 18

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
CountryHungary
CityBudapest
Period11/5/1511/5/18

ASJC Scopus subject areas

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

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