Abstract
A novel approach to cognitive networks is proposed, where cognition is used to optimize the delivery of content in wireless networks. Whereas most prior work in this area divides users into primary and secondary users, the proposed approach defines content classes with different quality of service requirements. The cognitive terminals implement smart channel access control strategies to enable the coexistence of heterogeneous applications on the same network resource. A Markov Decision Process framework is built to derive and investigate the structure of the optimal control policy in the form of action distribution over the network state space. For the considered problem, the optimal policy presents a specific structure that is analytically proven by means of renewal process analysis.
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