Distributed rate and power control in DSRC

Jubin Jose, Chong Li, Xinzhou Wu, Lei Ying, Kai Zhu

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

7 Scopus citations

Abstract

The focus of this paper is on rate and power control algorithms in DSRC. We first design a utility maximization framework by leveraging the well-developed network congestion control, and formulate two subproblems, one on rate control with fixed transmit powers and the other on power control with fixed rates. Distributed rate control and power control algorithms are developed to solve these two subproblems, respectively, and are proved to be asymptotically optimal. Joint rate and power control can be done by using the two algorithms in an alternating fashion. The performance enhancement of our algorithms compared with a recent rate control algorithm, called EMBARC [1], is evaluated by using the network simulator ns2.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2822-2826
Number of pages5
Volume2015-June
ISBN (Print)9781467377041
DOIs
StatePublished - Sep 28 2015
EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
Duration: Jun 14 2015Jun 19 2015

Other

OtherIEEE International Symposium on Information Theory, ISIT 2015
CountryHong Kong
CityHong Kong
Period6/14/156/19/15

Keywords

  • DSRC
  • power control
  • rate
  • Utility maximization

ASJC Scopus subject areas

  • Applied Mathematics
  • Modeling and Simulation
  • Theoretical Computer Science
  • Information Systems

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  • Cite this

    Jose, J., Li, C., Wu, X., Ying, L., & Zhu, K. (2015). Distributed rate and power control in DSRC. In IEEE International Symposium on Information Theory - Proceedings (Vol. 2015-June, pp. 2822-2826). [7282971] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2015.7282971