A Core-Stateless Utility Based Rate Allocation Framework
PIHSN '02 Proceedings of the 7th IFIP/IEEE International Workshop on Protocols for High Speed Networks
A resource allocation model for QoS management
RTSS '97 Proceedings of the 18th IEEE Real-Time Systems Symposium
Practical Solutions for QoS-Based Resource Allocation
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Scalable Layered Multicast with Explicit Congestion Notification
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
Preliminary results towards building a highly granular QoS controller
IWQoS'05 Proceedings of the 13th international conference on Quality of Service
Cooperative networks for the future wireless world
IEEE Communications Magazine
| Hi-index | 0.00 |
In recent years, the study of new network architectures has defined a clear trend towards using IP end-to-end. One of the most important issues for these types of all-IP networks is how to provide quality of service guarantees while a user is moving in wireless networks. The quality of service may degrade due to insufficient resources in the air links of any of the calling parties. In 3G cellular networks, a mobile is able to seamlessly obtain transmission resources when doing a handover to a new base station. This is essential for both service continuity and quality of service assurance; so a similar level of guarantees is required for future networks. This paper presents a QoS and resource allocation mechanism that takes into consideration in combination, the air link resources and the wire link congestion to provide the users with the best experience. In addition, this paper aims at the integration of QoS provisioning with mobility management including architectural frameworks necessary to support the setup and seamless handovers of calls while supporting QoS levels agreed between the operator and the user. The architectural framework utilizes the concept of utility functions which describe the benefit a user receives from an specified amount of resources allocated to hislher call. This paper presents the architecture of this QoS provisioning system, explains the signalling necessary for integration, and evaluates the performance by simulation results.