The shadow cluster concept for resource allocation and call admission in ATM-based wireless networks
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
Supporting mobile multimedia in integrated services networks
Wireless Networks - Special issue on wireless multimedia networking
IEEE/ACM Transactions on Networking (TON)
Adaptive resource management algorithms for indoor mobile computing environments
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
A real-time scalable software video codec for collaborative applications over packet networks
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Quality adaptation for congestion controlled video playback over the Internet
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Low-complexity video coding for receiver-driven layered multicast
IEEE Journal on Selected Areas in Communications
MMNS '01 Proceedings of the 4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
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This paper introduces a multi-agent system for resource management developed for cellular mobile networks. The main feature of the proposed multi-agent system is a more efficient support for mobile multimedia users having dynamicba ndwidth requirements. This is achieved by reducing the call dropping probability while maintaining a high network resource utilization. A call admission algorithm performed by the multi-agent system is proposed in this paper and involves not only the original agent (at the cell handling the new admission request) but also a cluster of neighboring agents. The neighboring agents provide significant information about their ability to support the new mobile user in the future. This distributed process allows the original agent to make a more clear-sighted admission decision for the new user. Simulations are provided to show the improvements obtained using our multi-agent system.