Radio resource is scarce for cellular network and application of this network is increasing. We assume radio resources here are complete frequency carriers. Different traffic load conditions generate hot and low traffic areas. We are assuming a macro-cellular scenario where base stations communicate by exchange of information. To maintain performance of the whole network, load sharing in distributive manner is required.To achieve this, the paper describes a framework of multi agent system and heuristic approach for negotiation of base stations. Results stated at every step are showing enhancements in the performance of the network.

1. E.L. Bodanese And L.G. Cuthbert, “Application Of Intelligent Agents In Channel Allocation Strategies For Mobile Networks”, IEEE International Conference On Communications, Vol. 1, Pp. 18–22, June 2000
2. Guohong Cao, Associate Member, IEEE, And Mukesh Singhal, Senior Member, IEEE, “Distributed Fault-tolerant Channel Allocation For Cellular Networks”, Ieee Journal On Selected Areas In Communications, Vol. 18, No. 7, July 2000 Pp. 1326-1337
3. John Bigham, Lin Du, “Cooperative Negotiation in a MultiAgent System for RealTime Load Balancing of a Mobile Cellular Network”, AAMAS’03, July 14–18, 2003, Melbourne, Australia. Copyright 2003 ACM 1581136838/3/2007
4. Doru Todinca, Stefan Holban, Philip Perry & John Murphy, “Fuzzy Logic Based Admission Control for GPRS/EGPRS Networks”, Transaction on Automobile Control & Computer Science. Vol. 49(63), 2004, ISSN 1224 – 600.
5. Jianchang Yang, D. Manivannan, “ An Efficient Fault-tolerant Distributed Channel Allocation Algorithm For Cellular Networks”, IEEE Transactions On Mobile Computing, VOL. 4, No. 6, November/December 2005
6. Jun Ye, Xuemin (Sherman) Shen, Senior Member, IEEE, and Jon W. Mark, Fellow, IEEE, “Call Admission Control in Wideband CDMA Cellular Networks by Using Fuzzy Logic”, IEEE Trans. on Mobile Computing, Vol. 4, No. 2, Mar/Apr 2005
7. Parag C. Pendharkar, Penn State Harrisburg, “A Multi-agent Distributed Channel Allocation Approach For Wireless Networks”, International Transactions In Operation Research, Vol. 15, Issue 3, Pages 325-337, APR 2006
8. Jamal Raiyn, “Development And Comparison Between Resource Allocation Strategies Based On Intelligent Scheme And Traditional Distributed Dynamic Resource Allocation Strategiesn Mobile Communication Networks”, Wireless Personal Communications (2007) 40: 495–509
9. Panagiotis Minas Papazoglou, Dimitrios Alexios Karras, “An Improved Multi-agent Simulation Methodology For Modelling And Evaluating Wireless Communication Systems Resource Allocation Algorithms”, Journal Of Universal Computer Science, Vol. 14, No. 7 (2008), 1061-1079
10. M. Ravichandran, P. Sengottuvelan , Dr. A. Shanmugam, “An Approach For Admission Control And Bandwidth Allocation In Mobile Multimedia Network Using Fuzzy Logic”, International Journal Of Recent Trends In Engineering, Vol 1, No. 1, May 2009
11. Kamble M., Gupta R., “A new framework for call admission control in wireless cellular network”, IEEE Int.Conf.ETNCC, 978-1-4577-0239-6/178-181, Apr 2011.
12. W.C.Y.Lee: Mobile Cellular Telecommunication Systems (New York: McGraw-Hill,1989)

Cellular Network Multi Agent System Heuristic Search Call dropping probability