Energy efficient techniques for resource allocation in cognitive networks

The Cognitive Radio paradigm is aimed to optimize the utilization of licensed spectrum bands thanks to coexistence within the same network of licensed (primary) and cognitive (secondary) users. In this context, one of the most important key aspects is represented by an efficient resource allocation between secondary and primary users. Modeling it as an optimization problem, this paper provides a modified version of the well-known Iterated Water-Filling algorithm and a novel approach based on a game theory framework to solve this issue in a distributed and fair way. In particular, the proposed game is formulated as an S-Modular Game, since it provides useful tools for the definition of multi objective distributed algorithms in the context of radio communications. This paper provides also a performance comparison among the proposed solutions and the Simulated Annealing algorithm, that represents one of the most frequently used technique in this context.