Open Access

Rate-Optimal Multiuser Scheduling with Reduced Feedback Load and Analysis of Delay Effects

  • Vegard Hassel1Email author,
  • Mohamed-Slim Alouini2,
  • Geir E Øien1 and
  • David Gesbert3
EURASIP Journal on Wireless Communications and Networking20062006:036424

DOI: 10.1155/WCN/2006/36424

Received: 30 September 2005

Accepted: 26 May 2006

Published: 17 August 2006

Abstract

We propose a feedback algorithm for wireless networks that always collects feedback from the user with the best channel conditions and has a significant reduction in feedback load compared to full feedback. The algorithm is based on a carrier-to-noise threshold, and closed-form expressions for the feedback load as well as the threshold value that minimizes the feedback load have been found. We analyze two delay scenarios. The first scenario is where the scheduling decision is based on outdated channel estimates, and the second scenario is where both the scheduling decision and the adaptive modulation are based on outdated channel estimates.

[1234567891011121314151617]

Authors’ Affiliations

(1)
Department of Electronics and Telecommunications, Norwegian University of Science and Technology
(2)
Department of Electrical Engineering, Texas A&M University at Qatar (TAMUQ)
(3)
Mobile Communications Department, Eurécom Institute

References

  1. Viswanath P, Tse DNC, Laroia R: Opportunistic beamforming using dumb antennas. IEEE Transactions on Information Theory 2002,48(6):1277–1294. 10.1109/TIT.2002.1003822MATHMathSciNetView ArticleGoogle Scholar
  2. Knopp R, Humblet PA: Information capacity and power control in single-cell multiuser communications. Proceedings of IEEE International Conference on Communications (ICC '95), June 1995, Seattle, Wash, USA 1: 331–335.Google Scholar
  3. Andrews M, Kumaran K, Ramanan K, Stolyar A, Whiting P, Vijayakumar R: Providing quality of service over a shared wireless link. IEEE Communications Magazine 2001,39(2):150–153. 10.1109/35.900644View ArticleGoogle Scholar
  4. Bender P, Black P, Grob M, Padovani R, Sindhushayana N, Viterbi S: CDMA/HDR: a bandwidth-efficient high-speed wireless data service for nomadic users. IEEE Communications Magazine 2000,38(7):70–77. 10.1109/35.852034View ArticleGoogle Scholar
  5. Gesbert D, Alouini M-S: How much feedback is multi-user diversity really worth? Proceedings of IEEE International Conference on Communications (ICC '04), June 2004, Paris, France 1: 234–238.Google Scholar
  6. Hassel V, Alouini M-S, Øien GE, Gesbert D: Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects. Proceedings of the 13th European Signal Processing Conference (EUSIPCO '05), September 2005, Antalya, Turkey
  7. Hole KJ, Øien GE: Spectral efficiency of adaptive coded modulation in urban microcellular networks. IEEE Transactions on Vehicular Technology 2001,50(1):205–222. 10.1109/25.917922View ArticleGoogle Scholar
  8. Gradshteyn IS, Ryzhik IM: Table of Integrals, Series, and Products. 6th edition. Academic Press, San Diego, Calif, USA; 2000.MATHGoogle Scholar
  9. Goldsmith AJ, Varaiya PP: Capacity of fading channels with channel side information. IEEE Transactions on Information Theory 1997,43(6):1986–1992. 10.1109/18.641562MATHMathSciNetView ArticleGoogle Scholar
  10. Alouini M-S, Goldsmith AJ: Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques. IEEE Transactions on Vehicular Technology 1999,48(4):1165–1181. 10.1109/25.775366View ArticleGoogle Scholar
  11. Goldsmith AJ, Chua S-G: Variable-rate variable-power MQAM for fading channels. IEEE Transactions on Communications 1997,45(10):1218–1230. 10.1109/26.634685View ArticleGoogle Scholar
  12. Alouini M-S, Goldsmith AJ: Adaptive modulation over Nakagami fading channels. Kluwer Journal on Wireless Communications 2000, 13: 119–143.View ArticleGoogle Scholar
  13. Goeckel DL: Adaptive coding for time-varying channels using outdated fading estimates algorithms. IEEE Transactions on Communications 1999, 844–855.Google Scholar
  14. Bolis S, Economou EG, Philokyprou PG: Scheduling delay protocols integrating voice and data on a bus lan. IEE Proceedings I: Communications, Speech and Vision 1992, 139: 402–412.Google Scholar
  15. Chen H-H, Tea W-T: Hierarchy schedule sensing protocol for CDMA wireless networksperformance study under multipath, multiuser interference, and collision-capture effect. IEEE Transactions on Mobile Computing 2005, 4: 178–188.View ArticleGoogle Scholar
  16. Hung K-W, Yum T-S: Fair and efficient transmission scheduling in multihop packet radio networks. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '92), December 1992, Orlando, Fla, USA 1: 6–10.
  17. Barnard JH, Pauw CK: Probability of error for selection diversity as a function of dwell time. IEEE Transactions on Communications 1989, 37: 800–803. 10.1109/26.31178View ArticleGoogle Scholar

Copyright

© Vegard Hassel et al. 2006

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.