Abstract
As the spectrum for wireless transmission gets crowded due to the increase in the users and applications, the efficient use of the spectrum is a major challenge in today’s world. A major affecting factor is the inefficient usage of the frequency bands. Interference in the neighboring cells affects the reuse of the frequency bands. Some of the quality of service parameters such as residual bandwidth, number of users, duration of calls, frequency of calls and priority are considered for optimized channel allocation. Genetic Algorithm and Artificial Neural Networks are applied to determine the optimal channel allocation considering the quality of service parameters. The simulation results show that using Genetic algorithm betters heuristic method and artificial neural networks performs better than Genetic Algorithm by a comfortable margin.
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Rajagopalan, N., Mala, C., Sridevi, M., Hari Prasath, R. (2012). Optimized Channel Allocation Using Genetic Algorithm and Artificial Neural Networks. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_62
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DOI: https://doi.org/10.1007/978-81-322-0487-9_62
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