Abstract:

In order to avoid the defect that spectrum allocation based on Binary Particle Swarm Optimization algorithm in cognitive radio is easy to trap into a local optimization. Cognitive radio spectrum allocation based on discrete artificial bee colony algorithm (DABC) is presented. For a given cognitive radio network topology model, the randomly generated food source positions are transformed to discrete states by a sigmoid function. The channel allocation matrix is obtained based on discrete food source positions and the channel availability matrix, and then the objective function is optimized. In addition, a new fairness objective function is used to evaluate the performance of the algorithms. The high efficiency and superiority of the discrete artificial bee colony algorithm are demonstrated in the TV band.