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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