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| Dynamic spectrum access strategy based on improved polymorphic ant colony algorithm in cognitive radio |
| 1. Key Laboratory of Modern Power System Simulation and Control ＆ Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, Jilin 132012, China; 2. School of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012, China |
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Abstract To improve the network profit of system and the utilization of network resources as much as possible, the polymorphic ant colony optimization algorithm was proposed based on time efficiency to solve the existing problems with long searching time, slow convergence speed and single pheromone of original ant colony algorithm. With the enhancement of pheromone accumulation, a basis was provided for the ant action in the ant colony algorithm and applied into the dynamic spectrum access in cognitive radio. The simulation results show that the improved algorithm can improve the network efficiency and ensure the system fairness evidently, and the search time of cognitive users is saved to make cognitive users access the available spectrum more quickly. The improved algorithm not only speeds up the convergence speed, but also increases the system throughput significantly, which improves the overall performance of the system.
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Received: 14 January 2019
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2020, Vol. 41 
