The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
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
On optimal call admission control in cellular networks
Wireless Networks
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 Rate-Based Borrowing Scheme for QoS Provisioning in Multimedia Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Wireless IP and Building the Mobile Internet
Wireless IP and Building the Mobile Internet
Ad hoc Networking
IEEE Communications Magazine
Distributed call admission control in mobile/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
IEEE Journal on Selected Areas in Communications
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels
IEEE Transactions on Neural Networks
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Future mobile wireless Internet network will be based on Internet Protocol (IP) version 6. In this paper we describe an approach for obtaining a bandwidth reservation mechanism in the process of handoff in the wireless IP network. In our approach, we adopt the least squares support vector machines (LS-SVM) method to minimize the probability of a new call blocking and the probability of dropping a call during the connection transfer between the cells. Simulation experiments show that in the environments with some types of traffic, a mechanism based on LS-SVM achieves good performance measures in bandwidth reservation.