Analysis and simulation of a fair queueing algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
Public access to the Internet
Link-sharing and resource management models for packet networks
IEEE/ACM Transactions on Networking (TON)
Priority pricing of integrated services networks
Internet economics
Optimizing the end-to-end performance of reliable flows over wireless links
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The economics of network management
Communications of the ACM
Performance analysis of cellular mobile communication networks supporting multimedia services
Mobile Networks and Applications
Admission control algorithms for cellular systems
Wireless Networks
The future of wireless communications beyond the third generation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Wireless networking
Adaptive performance management for universal mobile telecommunications system networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Traffic Modeling of IP Networks Using the Batch Markovian Arrival Process
TOOLS '02 Proceedings of the 12th International Conference on Computer Performance Evaluation, Modelling Techniques and Tools
Optimal Pricing of Priority Services
Operations Research
A representative validation of a neural 3G admission control through rules extraction
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An economic model for the radio resource management in multimedia wireless systems
Computer Communications
Hi-index | 0.00 |
In this paper, we introduce a unified approach for the adaptive control of 3G mobile networks in order to improve both quality of service (QoS) for mobile subscribers and to increase revenue for service providers. The introduced approach constantly monitors QoS measures as packet loss probability and the current number of active mobile users during operation of the network. Based on the values of the QoS measures just observed, the system parameters of the admission controller and packet scheduler are controlled by the adaptive performance management entity. Considering UMTS, we present performance curves showing that handover failure probability is improved by more than one order of magnitude. Moreover, the packet loss probability can be effectively regulated to a predefined level and provider revenue is significantly increased for all pricing policies.