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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Amini, R.M. Dziong, Z. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering, École de Technologie Supérieure, University of Quebec, Montréal, Canada H3C 1K3 (Amini, R.M.; Dziong, Z.) |
| Abstract | We consider wireless mesh networks where some of the wireless routers also play a role of gateways to the internet. The assumed cognitive ability of the routers' radios is a cost efficient manner to increase available bandwidth but requires an adaptive bandwidth management mechanism to deal with dynamics of primary users' activities. To cope with this issue we propose an economic framework for adaptation and control of the network resources with the final goal of the network profit maximization. The main issues considered are channel allocation and call admission and routing. The economic framework is based on the notion of state dependent node shadow price that is derived from Markov decision theory. The node shadow prices are used as routing metrics while their average values are used to allocate the channels among the different nodes. The simulation results demonstrate the performance of the proposed methodology. |
| Starting Page | 1017 |
| Ending Page | 1021 |
| File Size | 217016 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424463152 |
| ISSN | 21540225 |
| e-ISBN | 9781424463176 |
| DOI | 10.1109/ISWCS.2010.5624547 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-19 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics Cognitive Radio Biological system modeling Economic Model Adaptation model Bandwidth Markov processes Channel allocation Routing Wireless Mesh Network Channel Allocation Markov Decision Process |
| Content Type | Text |
| Resource Type | Article |
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