Practical multiuser diversity with outdated channel feedback

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

Inspired by the information theoretic results concerning multiuser diversity, we address practical issues in implementing multiuser diversity in a multiple access wireless setting. Considering a channel-assigning strategy that assigns the channel only to the user with the best instantaneous SNR [3], our emphasis is on the effects of channel feedback delay in downlink transmissions. A finite set of M-ary quadrature amplitude modulation (M-QAM) constellations is adopted and a constant transmit power is assumed in this practical multiuser adaptive modulation scheme. Based on the closed-form expressions for average bit error rate (BER) and average data rate, we illustrate the impact of channel feedback delay on the achievable multiuser diversity gain with the number of users. Simple and accurate asymptotic approximations are also provided in the limit of large numbers of users. Focusing on different applications, we propose two optimization criteria for the switching thresholds, based on either an average BER, or an outage probability constraint. Two novel constant power, variable rate M-QAM schemes that are less sensitive to feedback delay are proposed using the optimal switching thresholds, which are derived to maximize the average data rate subject to these two constraints, respectively. To obtain a certain degree of fairness among the users, we also consider a fair channel-assigning strategy that assigns the channel to only the user with the greatest normalized SNR.

Original languageEnglish (US)
Pages (from-to)1334-1345
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume54
Issue number4
DOIs
StatePublished - Jul 2005

Keywords

  • Adaptive modulation
  • Average BER
  • Fading channels
  • Fairness
  • Feedback delay
  • M-QAM
  • Multiuser diversity
  • Multiuser scheduling
  • Outage probability
  • Threshold optimization

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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