Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

1. Mitola, J. I., G. Q. Maguire. Cognitive Radio: Making Software Radios More Personal. - IEEE Personal Communications, Vol. 6, 1999, No 4, pp. 13-18.10.1109/98.788210Search in Google Scholar

2. Qadir, J. Artificial Intelligence Based Cognitive Routing for Cognitive Radio Networks. - Artificial Intelligence Review, Vol. 45, 2016, No 1, pp. 25-96.10.1007/s10462-015-9438-6Search in Google Scholar

3. Abbas, N., Y. Nasser, K. E. Ahmad. Recent Advances on Artificial Intelligence and Learning Techniques in Cognitive Radio Networks. - Eurasip Journal on Wireless Communications & Networking, Vol. 2015, 2015, No 174, pp. 1-20.Search in Google Scholar

4. Tragos, E. Z., S. Zeadally, A. G. Fragkiadakis, V. A. Siris. Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey. - IEEE Communications Surveys & Tutorials, Vol. 15, 2013, No 3, pp. 1108-1135.10.1109/SURV.2012.121112.00047Search in Google Scholar

5. Joshi, G. P., N. S. Yeob, K. S. Won. Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends. - Sensors, Vol. 13, 2013, No 9, pp. 11196-11228.10.3390/s130911196382133623974152Search in Google Scholar

6. Xu, T., Z. Li, J. Ge, H. Y. Ding. A Survey on Spectrum Sharing in Cognitive Radio Networks. - Ksii Transactions on Internet & Information Systems, Vol. 8, 2014, No 11, pp. 3751-3774.10.3837/tiis.2014.11.006Search in Google Scholar

7. Zhu, Y. L., H. N. Chen, H. Shen. Bio-Inspired Computing: Individual, Population, Colony Evolution Model and Method. - Tsinghua University Press, Beijing, 2013.Search in Google Scholar

8. Kar, A. K. Bio-Inspired Computing-A Review of Algorithms and Scope of Applications. - Expert Systems with Applications, Vol. 59, 2016, pp. 20-32.10.1016/j.eswa.2016.04.018Search in Google Scholar

9. Lv, J, X. You, S. Liu. α-Nearness Ant Colony System with Adaptive Strategies and Performance Analysis. - Cybernetics & Information Technologies, Vol. 15, 2015, No 1, pp. 3-13.10.1515/cait-2015-0001Search in Google Scholar

10. Theja, P. R., S. K. K. Babu. Evolutionary Computing Based on Qo S Oriented Energy Efficient VM Consolidation Scheme for Large Scale Cloud Data Centers. - Cybernetics & Information Technologies, Vol. 16, 2016, No 2, pp. 97-112.10.1515/cait-2016-0023Search in Google Scholar

11. Wang, W., X. Liu. List-Coloring Based Channel Allocation for Open-Spectrum Wireless Networks. - In: Proc. of IEEE Vehicular Technology Conference, Vol. 1, 2005, pp. 690-694.Search in Google Scholar

12. Zheng, H., C. Peng. Collaboration and Fairness in Opportunistic Spectrum Access. - In: Proc. of IEEE International Conference on Communications, Vol. 5, 2005, pp. 3132-3136.Search in Google Scholar

13. Anumandla, K. K., S. Kudikala, B. A. Venkata, S. L. Sabat. Spectrum Allocation in Cognitive Radio Networks Using Firefly Algorithm. - Swarm, Evolutionary, and Memetic Computing, Vol. 8297, 2013, pp. 366-376.Search in Google Scholar

14. Li, X. B., L. Lui, A. W. Shi, M. A. Kai, X. P. Guan. Cognitive Radio Spectrum Allocation Based on an Improved Population Adaptive Artificial Bee Colony Algorithm. - Journal of Applied Sciences, Vol. 31, 2013, No 5, pp. 448-453.Search in Google Scholar

15. Elhachmi, J., Z. Guennoun. Cognitive Radio Spectrum Allocation Using Genetic Algorithm. - Eurasip Journal on Wireless Communications & Networking, Vol. 2016, 2016, No 133, pp. 1-11.Search in Google Scholar

16. Martínez-Vargas, A., G. Á. Andrade, R. Sepúlveda. An Admission Control and Channel Allocation Algorithm Based on Particle Swarm Optimization for Cognitive Cellular Networks. - Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014, pp. 151-162.10.1007/978-3-319-05170-3_11Search in Google Scholar

17. Lezama, F., G. Castañón, A. M. Sarmiento. Differential Evolution Optimization Applied to the Routing and Spectrum Allocation Problem in Flexgrid Optical Networks. - In: Proc. of International Conference on Transparent Optical Networks, 2016, pp. 129-146. 10.1007/s11107-015-0558-3Search in Google Scholar