Architecture and algorithms for scalable mobile QoS
Wireless Networks
An architecture for SDP-based bandwidth resource allocation with QoS for SIP in IEEE 802.16 networks
Proceedings of the 2nd ACM international workshop on Quality of service & security for wireless and mobile networks
An analytical model based on G/M/1 with self-similar input to provide end-to-end QoS in 3G networks
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Mobile Networks and Applications
Managing end-to-end quality of service in multiple heterogeneous wireless networks
International Journal of Network Management
The bandwidth deficit problem in loosely coupled WLAN-to-cellular vertical handover
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
IEEE 802.21 enabled mobile terminals for optimized WLAN/3G handovers: a case study
ACM SIGMOBILE Mobile Computing and Communications Review
A beyond 3G real-time testbed for an All-IP heterogeneous network
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
A seamless handover mechanism for IEEE 802.16e broadband wireless access
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Vertical handover-decision-making algorithm using fuzzy logic for the integrated Radio-and-OW system
IEEE Transactions on Wireless Communications
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Quality of Service (QoS) provisioning in wireless networks quickly leads to scalability problem due to hard resource allocation of each session. Heterogeneous wireless environment provides alternative resources, but the complexity of handling such system is very high. In this paper, we present a virtual resource provisioning (VPR) scheme that collaborates with co-located wireless networks regarding resource availability and estimates resource release in near future to maintain predictive resource list for optimal resource utilization. Resource utilization is further supported by a fine-grained QoS service sub-class design for making precise resource allocation. These sub-classes map demanded QoS requirements to their subset, enabling more resource availability. Results show that much higher call admission rates are achieved by integrating virtual resource provisioning and load-balancing approach.