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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nasri, R. Altman, Z. Dubreil, H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Div. of Res. & Dev., France Telecom, Issy-les-Moulineaux (Nasri, R.; Altman, Z.; Dubreil, H.) |
| Abstract | With the evolution of wireless services and the increasing popularity of multimedia applications, setting radio parameters and sharing resources between different services are more than ever key issues for providing high-quality services. In this paper, we propose a dynamic and autonomic approach to sharing radio resources between RT and NRT services in order to achieve optimal trade-offs between their qualities of service. Fuzzy Q-learning controller (FQLC) is used to adapt the resource reserved for the RT traffic according to perceived quality indicators of each service. Each base station is fitted out with a controller which manages its resources. Learning results from each base station are supplied to a central FQLC of the network. Simulations have shown the effectiveness of the FQLC in terms of balancing the quality between RT and NRT services |
| Sponsorship | IEEE COM |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 227217 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424403294 |
| DOI | 10.1109/PIMRC.2006.254114 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-11 |
| Publisher Place | Finland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Communication system traffic control Base stations Traffic control Downlink Automatic control Land mobile radio Mobile communication Intelligent networks Fuzzy sets |
| Content Type | Text |
| Resource Type | Article |
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