An effective link error prediction technique for MIMO-OFDM systems with ML receiver

Sung Hyun Moon, Kyoung Jae Lee, Jihoon Kim, Inkyu Lee

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

Abstract

In this paper, we propose an accurate link performance abstraction technique for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing systems with maximum likelihood (ML) receiver. The performance of ML detection (MLD) is estimated by using capacity bounds of two simple linear receivers. To this end, we give a simple parametrization to compute the desired per-stream signal-to-noise ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the per-stream SNR estimates, the block error rate performance for each encoding block is finally obtained using the received-bit information rate metrics. From extensive simulations, we verify that the proposed method is accurate in the MIMO-MLD link evaluation with very low computational complexity.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages4262-4266
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: 2012 Jun 102012 Jun 15

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2012 IEEE International Conference on Communications, ICC 2012
CountryCanada
CityOttawa, ON
Period12/6/1012/6/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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