Network Oriented Load Control in Intelligent Networks
Blekinge Institute of Technology, Department of Telecommunications and Mathematics1997 (English)Conference paper (Refereed) Published
Heavy network load in the signaling system number 7 is an important source of customer dissatisfaction as congested networks result in deteriorated quality of service. With the introduction of a Congestion Control Mechanism (CCM), that rejects service sessions with a predicted completion time greater than a maximum al- lowed completion time for the session, network perfor- mance improves dramatically, and thus customer satis- faction. Rejection of already delayed sessions let other sessions benefit and increase the useful overall network throughput. The decision of rejection is based upon Bayesian decision theory that takes into account the cost or revenue attached to each action, i.e. whether to reject the session or not. More valuable sessions are then given priority through the network, at the ex- pense of less valuable sessions. To clearly display the benefit from this approach we propose to use network profit as a performance metric. This paper summarises the ongoing research and discusses the future direction of this project. Of spe- cial interest is deployment of new services in the IN and the implications this has to network load and the profit made by the operator.
Place, publisher, year, edition, pages
Network overload, Intelligent networks
IdentifiersURN: urn:nbn:se:bth-10229Local ID: oai:bth.se:forskinfo1CB76B9B977A4E05C12568A3002CAB0FOAI: oai:DiVA.org:bth-10229DiVA: diva2:838304
Asia Pacific Symposium on Information and Telecommunication Technologies
This article is written under the Project "Overload Control in Intelligent Networks"2012-09-182000-03-152015-06-30Bibliographically approved