  We consider a wireless channel shared by multiple transmitter-receiver pairs.
Their transmissions interfere with each other. Each transmitter-receiver pair
aims to maximize its long-term average transmission rate subject to an average
power constraint. This scenario is modeled as a stochastic game. We provide
sufficient conditions for existence and uniqueness of a Nash equilibrium (NE).
We then formulate the problem of finding NE as a variational inequality (VI)
problem and present an algorithm to solve the VI using regularization. We also
provide distributed algorithms to compute Pareto optimal solutions for the
proposed game.
