Cognitive radio simulation environment realization based on autonomic communication

Cognitive radio has been a research hotspot because of its promise to improve the utilization of the assigned but unused radio spectrum. In order to have such ability, cognitive engine, the intelligent part of cognitive radio, should configure the system to adapt to its communication context. Although much artificial intelligence techniques have been proposed for the cognitive engine realization, this paper proposes an agent based realization method, which had been investigated in the autonomic communication research. Based on the similarity between cognitive radio and autonomic communication, the autonomic cognitive radio conceptual and architecture models are proposed. Cognitive radio nodes realized by the proposed models are easy to form an autonomic cognitive radio network, which can be looked as an autonomic communication environment. The autonomic cognitive radio node is expressed by autonomic communication element (ACE) architecture and a realization method is given based on the open-source ACE toolkit, which establishes a simulation environment for cognitive radio research.