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

Jihoon Kim, Kyoung Jae Lee, Chang Kyung Sung, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


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
Pages (from-to)2971-2976
Number of pages6
JournalIEEE Transactions on Communications
Issue number10
Publication statusPublished - 2009


  • Adaptive modulation and coding (AMC)
  • Maximum likelihood detector (MLD)
  • Multi-input multi-output (MIMO)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'A simple SNR representation method for AMC schemes of MIMO systems with ML detector'. Together they form a unique fingerprint.

Cite this