A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector

Jihoon Kim, Sung Hyun Moon, Chang Kyung Sung, Inkyu Lee

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

3 Citations (Scopus)

Abstract

In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
DOIs
Publication statusPublished - 2011 Sep 2
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: 2011 Jun 52011 Jun 9

Other

Other2011 IEEE International Conference on Communications, ICC 2011
CountryJapan
CityKyoto
Period11/6/511/6/9

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Kim, J., Moon, S. H., Sung, C. K., & Lee, I. (2011). A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector. In IEEE International Conference on Communications [5962466] https://doi.org/10.1109/icc.2011.5962466