An adaptive modulation algorithm for performance improvement of MIMO ML systems

Jeasang Ham, Myoung Seok Kim, Chungyong Lee, Taewon Hwang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this letter, we propose a simplified adaptive modulation algorithm for a multiple input multiple output (MIMO) system with a maximum likelihood (ML) receiver to minimize BER under a fixed data rate. The proposed algorithm has the advantages of good system performance and low computational complexity, when compared to previous algorithms.

Original languageEnglish
Pages (from-to)819-821
Number of pages3
JournalIEEE Communications Letters
Volume12
Issue number11
DOIs
Publication statusPublished - 2008 Dec 29

Fingerprint

Adaptive Modulation
Adaptive modulation
Multiple-input multiple-output (MIMO)
Maximum likelihood
Maximum Likelihood
Multiple-input multiple-output (MIMO) Systems
Low Complexity
System Performance
Computational complexity
Computational Complexity
Receiver
Minimise

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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An adaptive modulation algorithm for performance improvement of MIMO ML systems. / Ham, Jeasang; Kim, Myoung Seok; Lee, Chungyong; Hwang, Taewon.

In: IEEE Communications Letters, Vol. 12, No. 11, 29.12.2008, p. 819-821.

Research output: Contribution to journalArticle

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