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

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 Sep 202009 Sep 23

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
CountryUnited 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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    Kim, J., Lee, K. J., & Lee, I. (2009). A simple SNR representation method for AMC schemes of MIMO systems with ML detector. In Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall [5379000] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2009.5379000