NDLI: From competition to coopetition: Stackelberg equilibrium in multi-user power control games

Content Provider	IEEE Xplore Digital Library
Author	Yi Su van der Schaar, M.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, UCLA, USA (Yi Su; van der Schaar, M.)
Abstract	This paper considers the problem of how to allocate power among competing users sharing a frequency- selective interference channel. We model the interaction between these selfish users as a non-cooperative game. We study how a foresighted user, who knows the channel state information and response strategies of its competing users, should optimize its own transmission strategy. To characterize this multiuser interaction, the Stackelberg equilibrium is introduced. We start by analyzing in detail a simple two-user scenario, where the foresighted user can determine its optimal transmission strategy by solving a bi-level program which allows him to account for the myopic user's response strategies. Therefore, the competition among users is transformed into a cooperative competition (coopetition) since the foresighted user will avoid interfering the myopic user. Since the optimal solution is computationally prohibitive, we propose a low-complexity algorithm based on Lagrangian duality theory. Numerical simulations illustrate that, if a foresighted user has the necessary information about its competitor, the resulting coopetition will benefit both users. Possible methods to acquire the required information and to extend the formulation to more than two users are also discussed.
Starting Page	107
Ending Page	116
File Size	569522
Page Count	10
File Format	PDF
ISBN	9781424441761
DOI	10.1109/GAMENETS.2009.5137391
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-13
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Power control Frequency Nash equilibrium Iterative algorithms Interference channels Wideband Channel state information Lagrangian functions Radio spectrum management
Content Type	Text
Resource Type	Article

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