Mobile-agent-based dynamic channel allocation with waiting queue

The explosive growth of the wireless users requires efficient channel utilization. In this thesis, we present a new channel allocation strategy with waiting queue model instead of the block-and-clear model so that the quality of service in cellular network can be improved.From a computational and network resource viewpoint, our model is based on the Mobile Agent Paradigm that has great advantages on reducing network traffic and dynamic adaptation. We also show the possibility to implement our algorithm on the Grasshopper mobile agent environment, which is compliant to the MASIF standard.In order to evaluate the performance of our proposed model, a simulator is written in Java, which shows that our algorithm gives the lowest average blocking probability under different traffic load comparing with LP Scheme, First Available DCA Scheme and Simple FCA Scheme. Specifically, our algorithm has a tremendous capability of alleviating congestion in the hot spots of a cellular system.Our research has been done within the group on "Advanced Studies on Mobile Environments" (ASME) as a part of the Consortium MIAMI (Mobile Intelligent Agents for Managing the Information Infrastructure)