Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/935717
- Title
- A predictive network resource allocation technique for cognitive wireless networks
- Author/Creator
-
Asheralieva, Alia;
Khan, Jamil Y.;
Mahata, Kaushik;
Ong, Eng Hwee
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- Future wireless networks are evolving towards a heterogeneous cooperative and cognitive architecture to support broadband communication needs of different types of traffic. Future wireless networks will allocate network resources based on cooperative techniques. Resource controllers will apply the cognitive principle to find out status of various networks. We propose a predictive resource allocation strategy where we employ adaptive algorithms to predict the network loading. These algorithms can detect changes in the traffic characteristics, and adapt automatically. To validate our claim, we present the results of applying these adaptive algorithms on real-world network traffic traces.
- Relation
- 4th International Conference on Signal Processing and Communication Systems, 2010 (ICSPCS 2010). Proceedings of the 4th International Conference on Signal Processing and Communication Systems 2010 (Gold Coast, Qld 13-15, December 2010)
- Publisher Link
- http://dx.doi.org/10.1109/ICSPCS.2010.5709685
- Date
- 2010
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
cognitive networks;
traffic prediction;
resource allocation;
wireless networks
- Resource Type
- conference paper
- Rights
- Copyright © 2010 IEEE. Reprinted from the Proceedings of the 4th International Conference on Signal Processing and Communication Systems 2010 . This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/935717
- Identifier
- ISBN:9781424479078
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