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 New Adaptive Channel Reservation Scheme for Handoff Calls in Wireless Cellular Networks
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Predictive call admission control for all-IP wireless and mobile networks
LANC '03 Proceedings of the 2003 IFIP/ACM Latin America conference on Towards a Latin American agenda for network research
Wireless Communications & Mobile Computing
Call admission control in mobile cellular networks: a comprehensive survey: Research Articles
Wireless Communications & Mobile Computing
A simple and scalable handoff prioritization scheme
Computer Communications
QoS provisioning in cellular networks based on mobility prediction techniques
IEEE Communications Magazine
Distributed call admission control in mobile/wireless networks
IEEE Journal on Selected Areas in Communications
Predictive schemes for handoff prioritization in cellular networks based on mobile positioning
IEEE Journal on Selected Areas in Communications
Local predictive resource reservation for handoff in multimedia wireless IP networks
IEEE Journal on Selected Areas in Communications
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This paper proposes a novel resource management framework that integrates Call Admission Control (CAC) and aggregate reservation of bandwidth for mobile networks in a scalable fashion. Our proposal avoids peruser reservation signaling overhead and takes into account the expected bandwidth to be used by calls handed off from neighboring cells within a prediction interval through the Trigg and Leach Method (an adaptive exponential smoothing technique). Our scheme is compared through simulations with the ACR (Adaptive Channel Reservation) scheme, a dynamic reservation-based proposal that uses GPS systems to extrapolate users' movement and to trigger reservations in the next predicted cell. The simulation results show that our proposal provides the best performance in terms of handoff dropping probability and can achieve similar levels of call blocking probability as compared to ACR. In addition, our proposal can grant an upper bound on handoff dropping probability even under very high loads.