IEEE Transactions on Mobile Computing
An optimal bandwidth adaptation algorithm for multi-class traffic in wireless networks
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
On utility-fair bandwidth adaptation for multi-class traffic QoS provisioning in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Time-selective Access Control for Realtime Calls in a CDMA Common Trunk
Wireless Personal Communications: An International Journal
A priority based call admission control protocol with call degradation for cellular networks
AIC'06 Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications
A channel preemption model for heterogeneous WLAN-embedded cellular networks
TELE-INFO'08 Proceedings of the 7th WSEAS International Conference on Telecommunications and Informatics
Optimized call admission control in wireless networks
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Dynamic bandwidth provisioning using ARIMA-based traffic forecasting for Mobile WiMAX
Computer Communications
Bandwidth degradation policy for adaptive multimedia services in mobile cellular networks
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
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The next-generation wireless networks need to support a wide range of multimedia applications with limited radio resources like bandwidth. In this paper, we propose a novel integrated framework for bandwidth degradation and call admission control (CAC) for multiclass real-time multimedia traffic in such networks. To increase the total carried traffic in an overloaded (saturated) wireless system, some of the ongoing calls in our framework are allowed to operate under a degraded mode, thereby releasing wireless channels that can be used to accommodate new calls, however, at the cost of user satisfaction. Indeed, an increase in carried traffic (i.e., provider's revenue generation) and user's quality-of-service satisfaction are two conflicting goals in a bandwidth allocation scheme. The proposed framework adequately models this tradeoff by introducing the negative revenue (i.e., loss) from bandwidth degradation, and finding the optimal degradation and admission policies that maximize the net revenue. When there is a mixture of real-time and nonreal-time calls in the system, the former are given preemptive priority over the latter, which are buffered for future admission in case of preemption. A channel sharing scheme is proposed for nonreal-time traffic and analyzed using a Markov modulated Poisson process-based queueing model. Detailed simulation experiments are conducted to validate our proposed framework.