Towards the performance of ml and the complexity of MMSE - A hybrid approach

Byonghyo Shim, Jun Won Choi, Insung Kang

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

4 Citations (Scopus)

Abstract

In this paper, we present a near ML-achieving sphere search technique that reduces the number of search operations significantly over existing sphere decoding (SD) algorithms. While the SD algorithm relies only on causal symbols in evaluating path metric, proposed method accounts for the contribution of non-causal symbols with the aid of per-path minimum mean square error (MMSE) symbol estimation. The ML and MMSE combined cost metric results in the tight necessary condition for sphere decision and hence expedites the pruning of subtrees unlikely to be survived. From the simulations performed over multi-input multi-output (MIMO) wireless channels, it is shown that the computational complexity of the proposed approach is substantially smaller than the existing SD algorithms while providing negligible performance loss.

Original languageEnglish
Title of host publication2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Pages3453-3457
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
Duration: 2008 Nov 302008 Dec 4

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Country/TerritoryUnited States
CityNew Orleans, LA
Period08/11/3008/12/4

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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