An iterative optimization scheme for resource adaptation to user mobility patterns in cellular wireless systems

A cellular wireless network is considered, where multi-class call admission control is exerted locally in a number of cells. Cells are in turn organized into clusters, which play the role of a higher hierarchical control level. The whole capacity (in number of channels) available in a cluster is distributed among its cells, according to variations in traffic parameters and user mobility, with the goal of minimizing the average blocking probability for the whole system. At the same time, on the basis of a temporarily assigned capacity, cell controllers regulate the admission of new calls and the handoff flow, by setting thresholds on the maximum number of new calls that prevent the blocking probability of the handoff calls to exceed a given upper bound. The overall resource allocation mechanism is described and numerical results are presented and discussed, in relation with different user mobility patterns.