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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu, W.W.H. Changhua He |
| Copyright Year | 2001 |
| Abstract | Resource reservation is very important for handoff control in wireless networks. Many researches have aimed to predict the user's destination cell based on its movement pattern for efficient resource reservation. In the future networks with small size cells, handoffs will occur more frequently and the user's movement will be more like a random process, so it is not practical to predict the accurate destination of a user. We propose a statistical strategy for resource reservation through the estimation of a user's transfer probabilities, which represent the possibilities of the user leaving the current cell and entering the neighboring cells. The resources reserved for a user in each base station are proportional to the user's transfer probabilities. A mathematical model is proposed to obtain the transfer probabilities of a user from the initial states (position, velocity and direction) through simulation of the user's movement. Neural networks are developed to predict the transfer probabilities of a user from the initial states and facilitate efficient resource reservation. |
| Sponsorship | Int. Neural Network Soc. |
| Starting Page | 2264 |
| Ending Page | 2269 |
| File Size | 577211 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780370449 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2001.938519 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-07-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent networks Wireless networks Pattern recognition Quality of service Base stations Predictive models Random processes Probability Mathematical model Multimedia systems |
| Content Type | Text |
| Resource Type | Article |
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