Multi source-destination distributed wireless networks: Pareto-efficient dynamic power control game with rapid convergence

Smith, David B., Portmann, Marius, Tan, Wee Lum and Tushar, Wayes (2013) Multi source-destination distributed wireless networks: Pareto-efficient dynamic power control game with rapid convergence. IEEE Transactions on Vehicular Technology, Early Access 1-11. doi:10.1109/TVT.2013.2294019

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Author Smith, David B.
Portmann, Marius
Tan, Wee Lum
Tushar, Wayes
Title Multi source-destination distributed wireless networks: Pareto-efficient dynamic power control game with rapid convergence
Journal name IEEE Transactions on Vehicular Technology   Check publisher's open access policy
ISSN 0018-9545
1939-9359
Publication date 2013-12-05
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TVT.2013.2294019
Open Access Status
Volume Early Access
Start page 1
End page 11
Total pages 11
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Formatted abstract
A game-theoretic method for transmit power control across multi source-destination distributed wireless networks is proposed, which is viable for any number of source-destination pairs, with any number of players (or sources). A dynamic non-cooperative repeated game is proposed to optimize both packet delivery ratio (PDR) and transmit power considering a realistic signal-to-interference+noise ratio (SINR) model of the wireless channel. Here the sources, which are players, transmit concurrently and thus have imperfect information about other players actions. The game accounts for a limited set of discrete values for transmit power and the game can be applied in static, quasi-static and slow fading channels. If the SINR is feasible, each game stage has a sub-game perfect equilibrium, and the game requires fewer iterations to converge to a Pareto-efficient outcome than other appropriate techniques such as SINR discrete power balancing and multi-objective power optimization. In this context, a novel accurate PDR model is given in terms of a compressed exponential function of inverse SINR, a function that is realistic for many IEEE 802.11 type implementations of various packet sizes and data rates, and facilitates a tractable analysis and implementation of this dynamic game.
Keyword Distributed networks
Dynamic power control
Game theory
Interference management
Pareto optimality
Wireless communications
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Date of Publication : 05 December 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
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Created: Tue, 08 Apr 2014, 03:09:57 EST by Ms Deborah Brian on behalf of School of Information Technol and Elec Engineering