A benchmark on soap's transport protocols performance for mobile applications
Proceedings of the 2006 ACM symposium on Applied computing
Mobility management architectures based on joint mobile IP and SIP protocols
IEEE Wireless Communications
Analysis of SIP-based mobility management in 4G wireless networks
Computer Communications
Mobility management in All-IP mobile network: end-to-end intelligence or network intelligence?
IEEE Communications Magazine
A new signaling protocol for intersystem roaming in next-generation wireless systems
IEEE Journal on Selected Areas in Communications
Architecture for mobility and QoS support in all-IP wireless networks
IEEE Journal on Selected Areas in Communications
Video networking: trends and challenges
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Performance evaluation of scalable video streaming in multihomed mobile networks
ACM SIGMETRICS Performance Evaluation Review - Special Issue on IFIP PERFORMANCE 2011- 29th International Symposium on Computer Performance, Modeling, Measurement and Evaluation
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Users in the Beyond-Third-Generation (B3G) wireless system expect to receive ubiquitous communication services with customised quality-of-service (QoS) commitments for different applications, preferably in a way as transparent as possible. Ideally, flows belonging to diverse applications can be automatically and optimally distributed (or handed off) among the most appropriate access networks for multihomed users. To contribute to realising this vision, we propose a novel architecture to achieve QoS-aware policy-based flow handoffs for multihomed users, especially those equipped with more than a single personal device. In this architecture, advanced network intelligence enables a personal gateway to handle flow distributions dynamically for all the devices behind it according to the applications' QoS requirements and the current available network resources. The essential procedures in this architecture are described. Following that, the flow handoff delay is analysed and numerical results are illustrated. To prove the proposed concepts, up-to-date implementations with experimental results are also presented.