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Kamble, M. and Gupta, R. (2011) An Efficient Framework Using Fuzzy Logic and Multi Agent System for Cellular Network. In: Deep, K., Nagar, A., Pant, M. and Bansal, J.C., Eds., Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, Springer, India, 513-523.

has been cited by the following article:

• TITLE: Software Agent Structure for Performance Index Improvement of Cellular Network

  AUTHORS: Megha Kamble, Roopam Gupta

  KEYWORDS: Cellular Network, Hybrid Channel Allocation, Multi Agent System, Agent Negotiation

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.7 No.9, September 2, 2014

  ABSTRACT: Efficient reuse of limited radio spectrum is vital issue to support increasing number of mobile terminals and heterogeneous traffic scenarios. Dynamic channel allocation (DCA) technique is suitable to solve the problem. The drawback of dynamic channel allocation is it may upgrade performance of one cluster and degrade performance of other cluster in large scale cellular network. To balance performance of clusters and increase carried traffic in network, there is need of enhancement of DCA techniques. To introduce improvement in the dynamic channel approach, the paper suggested Multi Agent System (MAS) of physical agents ported at base stations working on the principle of cooperative negotiation to improve the QoS of the network. We formulated an integrated framework which includes fundamental mechanism of call admission control and resource management using hybrid channel allocation (HCA). To balance performance index of various clusters of network, agent negotiation is executed. Our simulation results show that it is possible to significantly enhance performance index of network due to MAS-HCA approach when compared with ES based and ILP based HCA schemes proposed in literature.