  We consider a cellular system with multiple Femtocells operating in a
Macrocell. They are sharing a set of communication channels. Each Femtocell has
multiple users requiring certain minimum rate guarantees. Each channel has a
peak power constraint to limit interference to the Macro Base Station (BS). We
formulate the problem of channel allocation and power control at the Femtocells
as a noncooperative Game. We develop decentralized algorithms to obtain a
Coarse Correlated equilibrium that satisfies the QoS of each user. If the QoS
of all the users cannot be satisfied, then we obtain a fair equilibrium.
Finally we also provide a decentralized algorithm to reach a Pareto and a Nash
Bargaining solution which has a much lower complexity than the algorithm to
compute the NE.
