arXiv · 1703.07647
Algorithms for Nash and Pareto Equilibria for Resource Allocation in Multiple Femtocells
Abstract
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.
Explore related subjects
Keep this discovery
V. Udaya Sankar, Vinod Sharma. 2017-03-22. Algorithms for Nash and Pareto Equilibria for Resource Allocation in Multiple Femtocells. https://arxiv.org/abs/1703.07647
Cite the original work for its findings. Save a collection to share your selection of sources.