Resource management in 3G networks using case-based reasoning
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
An intelligent-agent approach for congestion management in 3G networks
Engineering Applications of Artificial Intelligence
Self-organizing relay stations in relay based cellular networks
Computer Communications
A simulation package for hot-spot traffic relief in WCDMA networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Field architecture for traffic and mobility modelling in mobility management
International Journal of Ad Hoc and Ubiquitous Computing
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We investigate a novel geographic load-balancing scheme for cellular networks that intelligently changes cellular coverage according to the geographic traffic distribution in real time. A cooperative negotiation approach for the real-time control of cellular network coverage is described. The performance of the whole cellular network is improved by contracting and shaping the antenna radiation pattern around a traffic "hot spot" and expanding adjacent cells coverage to fill in the coverage loss. By the use of real time cooperative negotiations between base stations and associated antennas, a near optimal local coverage agreement is reached in the context of the whole cellular network. Results showing the advantage of this technique are presented. Global optimization using constrained real-coded genetic algorithms (RCGA) provides a benchmark. Convergence using penalty functions to manage the constraints was first investigated but gave poor results. A transformation of the problem space is used to remove the constraints, and a criterion that is necessary for successful transformations is explained.