Abstract
The usage of mobile communications systems has grown exponentially. But the bandwidth available for mobile communications is finite. Hence there is a desperate attempt to optimize the channel assignment schemes. In this work, some of the quality of service parameters such as residual bandwidth, number of users, duration of calls, frequency of calls and priority are considered. Genetic Algorithm and Artificial Neural Networks is used to determine the optimal channel assignment considering the quality of service parameters. The simulation results show that Genetic Algorithm performs better than Heuristic Method. But application of Artificial Neural Networks outperforms Genetic Algorithm and Heuristic method by a considerable margin. Channel allocation can be optimized using these soft computing techniques resulting in better throughput.
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Rajagopalan, N., Mala, C. (2012). Optimization of QoS Parameters for Channel Allocation in Cellular Networks Using Soft Computing Techniques. 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_60
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DOI: https://doi.org/10.1007/978-81-322-0487-9_60
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