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Distributed power control and coding-modulation adaptation in wireless networks using annealed Gibbs sampling

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3 Author(s)
Shan Zhou ; Dept. of ECE, Iowa State Univ., Ames, IA, USA ; Xinzhou Wu ; Lei Ying

In wireless networks, the transmission rate of a link is determined by received signal strength, interference from simultaneous transmissions, and available coding-modulation schemes. Rate allocation is a key problem in wireless network design, but a very challenging problem because: (i) wireless interference is global, i.e., a transmission interferes all other simultaneous transmissions, and (ii) the rate-power relation is non-convex and non-continuous, where the discontinuity is due to limited number of coding-modulation choices in practical systems. In this paper, we consider a realistic Signal-to-Interference-and-Noise-Ratio (SINR) based interference model, and assume continuous power space and finite rate options (coding-modulation choices). We propose a distributed power control and coding-modulation adaptation algorithm using annealed Gibbs sampling, which achieves throughput optimality in an arbitrary network topology.

Published in:

INFOCOM, 2012 Proceedings IEEE

Date of Conference:

25-30 March 2012