Adaptive modulation with diversity combining based on output-threshold MRC

Young Chai Ko, Hong Chuan Yang, Seung Sik Eom, Mohamed Slim Alouini

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

In this paper, we propose a combined adaptive modulation transmission and output threshold MRC diversity reception scheme for high spectral and power efficiency wireless transceiver design. The modulation constellation size and the number of combined diversity paths are jointly determined to achieve the highest spectral efficiency but with low combining complexity, given the fading channel conditions and the required error rate performance. We derive the statistics of the resulting output signal-to-noise ratio (SNR) and then use it to analyze the proposed system (i) performance in terms of outage probability and average bit error rate, (ii) complexity in terms of the average number of path estimation and the average number of combined paths, and (iii) spectral efficiency. Some selected numerical examples are finally presented and discussed to illustrate the tradeoff offered by this scheme.

Original languageEnglish
Pages (from-to)3728-3737
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume6
Issue number10
DOIs
Publication statusPublished - 2007 Oct

Bibliographical note

Funding Information:
Manuscript received March 18, 2006; revised June 13, 2006 and October 22, 2006; accepted October 23, 2006. The associate editor coordinating the review of this paper and approving it for publication was K. K. Wong. This work was supported by grant No. R01-2003-000-10155-0(2003) from the Basic Research Program of the Korea Science & Engineering Foundation, and by a Discovery Grant from NSERC Canada. This is an expanded version of work which was presented at the IEEE Vehicular Technology Conference (VTC’06), Melbourne, Australia, May 2006.

Keywords

  • Adaptive modulation
  • Diversity techniques
  • Maximum ratio combining
  • Performance analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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