Spectrum allocation algorithm in cognitive ad-hoc networks with high energy efficiency

Cognitive radio is an exciting emerging technology that has the potential of dealing with the urgent requirement and scarcity of the radio spectrum. Although having multiple radio interfaces and available spectrum bands can generally increase the effective throughput, a problem arises as to which is the best strategy to dynamically assign available bands to cognitive users for maximizing energy efficiency in the cognitive radio networks. In this paper, we formulate the channel access as a joint power/rate control and channel assignment optimization problem, with the objective of maximizing the total capacity and minimizing the power consumption of system. The problem is formulated under a generalized multi-level spectrum opportunity framework, which reflects the microscopic spatial opportunity available to cognitive users. Subsequently, we develop an efficient solution procedure based on binary particles swarm optimization algorithm. Finally, we show the efficiency of the algorithm and demonstrate our scheme through some numerical results.