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 language | English (US) |
|---|---|
| Title of host publication | IEEE International Symposium on Information Theory - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2822-2826 |
| Number of pages | 5 |
| Volume | 2015-June |
| ISBN (Print) | 9781467377041 |
| DOIs | |
| State | Published - Sep 28 2015 |
| Event | IEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong Duration: Jun 14 2015 → Jun 19 2015 |
Other
| Other | IEEE International Symposium on Information Theory, ISIT 2015 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 6/14/15 → 6/19/15 |
Keywords
- DSRC
- power control
- rate
- Utility maximization
ASJC Scopus subject areas
- Applied Mathematics
- Modeling and Simulation
- Theoretical Computer Science
- Information Systems