Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Adaptive channel allocation for wireless PCN
Mobile Networks and Applications - Special issue: resource management in mobile wireless communication networks
Wireless and Mobile Network Architectures
Wireless and Mobile Network Architectures
Industrial Applications of Fuzzy Technology
Industrial Applications of Fuzzy Technology
Neural Networks in Telecommunications
Neural Networks in Telecommunications
A Fair Resource Allocation Protocol for Multimedia Wireless Networks
ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
IEEE Communications Magazine
QoS provisioning in cellular networks based on mobility prediction techniques
IEEE Communications Magazine
Improved neural heuristics for multicast routing
IEEE Journal on Selected Areas in Communications
An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks
IEEE Journal on Selected Areas in Communications
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
IEEE Journal on Selected Areas in Communications
Media synchronization in multimedia Web using a neuro-fuzzy framework
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Call admission control and routing in integrated services networks using neuro-dynamic programming
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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Many mechanisms based on bandwidth reservation have been proposed in the literature to decrease connection dropping probability for handoffs in cellular communications. The handoff events occur at a much higher rate in sectored cellular networks than in traditional cellular systems. An efficient bandwidth reservation mechanism for the neighboring cells is therefore critical in the process of handoff during the connection of multimedia calls to avoid the unwillingly forced termination and waste of limited bandwidth in the sectored cellular communications, particularly when the handoff traffic is heavy. In this paper, a self-adaptive bandwidth reservation scheme, which employs a neural fuzzy bandwidth-reserving estimator, is proposed to reduce the forced termination probability. Meanwhile, a channel borrowing technique is used to decrease the new call blocking probability of real-time traffic. The simulation results show that our scheme can achieve superior performance than traditional fixed bandwidth-reserving scheme in sectored cellular networks when performance metrics are measured in terms of the forced termination probability and the new call blocking probability.