Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach

Abstract

The concept of cognitive radio has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency resource by allowing the coexistence of primary and secondary users in the same bandwidth. In this paper, we propose a novel Nash equilibrium (NE) problem to model concurrent communications of cognitive secondary users who compete with each other to maximize their information rate, subject to constraints on the transmit power (and possibly spectral masks) as well as on per-carrier and total aggregate interference tolerable at the primary users' receivers. The coupling among the strategies of the players due to the interference constraints presents a new challenge for the analysis of this class of Nash games that cannot be addressed using the game theoretical models proposed in the literature. For this purpose, we need the framework given by the more advanced theory of finite-dimensional Variational Inequalities. This provides us with all the mathematical tools necessary to analyze the proposed NE problem (e. g., existence and uniqueness of the solution) and to devise alternative distributed algorithms along with their convergence properties.