Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm |
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| Authors: | Zu Yun-Xiao and Zhou Jie |
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| Affiliation: | School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate. |
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| Keywords: | cognitive radio networks niche genetic algorithm King map resource allocation |
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