Download A Game-Theoretic Analysis of Decode-and

A Game-Theoretic Analysis of Decode-and-Forward User Cooperation
Shalinee Kishore
P.C. Rossin Assistant Professor
Electrical and Computer Engineering
Lehigh University
Abstract
We present a game-theoretic analysis of decode and forward cooperation for additive
white Gaussian noise (AWGN) and Rayleigh fading channels.
Cooperative
communications is modeled as a repeated game in which participating terminals are
selfish and seek to maximize their own payoff, a general utility function that
monotonically increases with signal-to-noise ratio. Results show a Nash Equilibrium in
which users mutually cooperate can be obtained for AWGN channels when strict power
control is enforced and users care about future payoff. The Rayleigh fading channel is
studied using a two state Markov model. In this case, we show that a mutually
cooperative Nash Equilibrium 1) always exists when the utility function is convex and
users care somewhat about future payoff; and 2) may not always be achievable,
especially in adverse channel conditions, when the utility function is concave.
Examinations of several widely-used concave functions, however, demonstrate that
mutual cooperation is more likely when users increase their value on future payoff or
when they improve their channel conditions, e.g., by using multiple transmit antennas.
Bio
Shalinee Kishore is an Assistant Professor in the Department of Electrical and Computer
Engineering at Lehigh University in Bethlehem, Pennsylvania. She obtained the Ph.D. and
M.A. degrees in Electrical Engineering from Princeton University in 2003 and 2001,
respectively, and the M.S. and B.S. degrees in Electrical Engineering from Rutgers
University in 1999 and 1996, respectively. From 1994 to 2002, she has held numerous
internships at AT&T, Bell Labs, and AT&T Labs-Research. Shalinee is the recipient of the
Presidential Early Career Award for Scientists and Engineers, the National Science
Foundation CAREER Award, the P.C. Rossin Assistant Professorship, and the AT&T Labs
Fellowship Award. Her research interests are in communications theory, networks, and
signal processing, with emphasis on wireless systems.