Effective bandwidths for multiclass Markov fluids and other ATM sources
IEEE/ACM Transactions on Networking (TON)
A novel distributed call admission control for wireless mobile multimedia networks
WOWMOM '00 Proceedings of the 3rd ACM international workshop on Wireless mobile multimedia
IEEE/ACM Transactions on Networking (TON)
Radio Resource Management for Wireless Networks
Radio Resource Management for Wireless Networks
Adaptive Bandwidth Reservation and Admission Control in QoS-Sensitive Cellular Networks
IEEE Transactions on Parallel and Distributed Systems
A Fair Resource Allocation Protocol for Multimedia Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Optimal multi-class guard channel admission policy under hard handoff constraints
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Distributed call admission control in mobile/wireless networks
IEEE Journal on Selected Areas in Communications
Dynamic resource allocation schemes during handoff for mobile multimedia wireless networks
IEEE Journal on Selected Areas in Communications
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Next generation wireless cellular networks aim at supporting Wireless Multimedia Services (WMSs) with different classes of traffic characterised by diverse Quality of Service (QoS) and bandwidth requirements. They will use micro/pico cellular architectures in order to provide higher capacity. However, small-size cells increase the handoff rate drastically. As a result, it is a challenge to provide stable QoS in these networks. This paper introduces a novel QoS Adaptive Call Admission Control (QoS-AdCAC) framework for next generation broadband wireless cellular networks supporting WMSs with different classes of traffic and diverse bandwidth requirements. In this work, each base station locally, independently of other Base Stations (BSs) in the network, differentiates between new and handoff calls for each class of traffic by assigning a threshold to each class according to its QoS requirements. The threshold values change dynamically in order to respond to the varying traffic conditions. The main feature of the proposed framework is its ability to simultaneously achieve several design goals, which makes it suitable for real time execution. Simulation results show the strength of our proposed framework.