Adaptive Network Layer for Cognitive Radio Networks

Cognitive radios present unique challenges in the design of a suitable network layer for networks formed by these devices. The network layer must be robust, adaptive and dynamic to meet these challenges by allowing the cognitive functionality further into the protocol stack. In this paper we outline a model for dynamic adaptation using two candidate classes of network layers and describe its various components. We evaluate aspects of the feasibility of the approach using simulation based studies.