Jelena Mišić
Abstract
A technique for estimating the resources needed to maintain an upper bound on handoff dropping probability in wireless networks with heterogeneous traffic is presented. The calculation is based on the number and characteristics of connections in the surrounding cells. The information is collected from the base stations in the S surrounding rings and is updated at handoff and call termination events which involves simple arithmetic operations only. Based on the resource requirement estimation, a distributed adaptive admission control algorithm is proposed. We have evaluated the performance of the admission algorithm for the single traffic type case and derived the performance bounds as functions of traffic descriptors, cell capacity and value of the tuning parameter. It is shown that by adjusting the tuning parameter, the constraints imposed on the handoff dropping probability for a given type of traffic can be met while maximizing the cell capacity utilization and minimizing the new call blocking probabilities.
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Index Terms
- Event based resource estimation in admission control for wireless networks with heterogeneous traffic
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