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

  • Dan Zhang*
  • , I. Wei Lai
  • , Gerd Ascheid
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424483310
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

ASJC Scopus subject areas

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

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