Optimal Resource Allocation in Fetmocell Networks Based on Markov Modeling of Interferers' Activity
Femtocell networks offer a series of advantages with respect to conventional cellular networks. However, a potential massive deployment of Femto-Access Points (FAPs) poses a big challenge in terms of interference management, which requires proper radio resource allocation techniques. In this paper, the authors propose alternative optimal power/bit allocation strategies over a time-frequency frame based on a statistical modeling of the interference activity. Given the lack of knowledge of the interference activity, they assume a Bayesian approach that provides the optimal allocation, conditioned to periodic spectrum sensing, and estimation of the interference activity statistical parameters.