A simple SNR representation method for AMC schemes of MIMO systems with ML detector

Jihoon Kim, Kyoung Jae Lee, Inkyu Lee

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

    1 Citation (Scopus)

    Abstract

    Adaptive modulation and coding (AMC) is a powerful technique to enhance the link performance by adjusting the transmission power, channel coding rates and modulation levels according to channel state information. In order to efficiently utilize the AMC scheme, an accurate signal-to-noise ratio (SNR) value is normally required for determining the AMC level. In this paper, we propose a simple method to represent the SNR values for maximum likelihood (ML) detector in multi-input multi-output (MIMO) systems. By analyzing the relation between the upper bound and the lower bound of the ML detector performance, we introduce an efficient way to determine the SNR for the ML receiver. Based on the proposed SNR representation, an AMC scheme for single antenna systems can be extended to MIMO systems with ML detector. From computer simulations, we confirm that the proposed SNR representation allows us to achieve almost the same system throughput as the optimum AMC systems in frequency selective channels with reduced complexity.

    Original languageEnglish
    Title of host publicationProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
    Duration: 2009 Sept 202009 Sept 23

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Other

    Other2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
    Country/TerritoryUnited States
    CityAnchorage, AK
    Period09/9/2009/9/23

    ASJC Scopus subject areas

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

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