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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Zeng Green, R. Leeson, M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Communications Systems Laboratory, ICT Research Group, School of Engineering, University of Warwick, Coventry, CV4 7AL, United Kingdom (Yu Zeng; Green, R.; Leeson, M.) |
| Abstract | The optical wireless (OW) channel has attracted recent interests from researchers as a complement to the already crowded RF spectrum. The OW offers many advantages over RF, such as unregulated bandwidth and improved security and less interference with existing systems, for example. The modulation schemes developed for OW are limited by the combined power and bandwidth requirements [1], since the communication link is often exposed to intense background noise and channel dynamics. In order to improve the link quality and immunity, rule-based fuzzy logic (FL) control and adaptive neuro-fuzzy inference system (ANFIS) are applied to modulation optimisation under different channel variation. It has been demonstrated that the FL control model can be used to realise real time parameter optimisation, with preset instructions or a learned control pattern. The obtained control model has shown the ability to learn from the desired parameter optimisation, and training results agree well with preset instructions. Since the control model is rule based, it can be easily migrated into different scenarios. This is certainly helpful for high speed applications where link quality is vital. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 141368 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424477999 |
| e-ISBN | 9781424477982 |
| e-ISBN | 9781424477975 |
| DOI | 10.1109/ICTON.2010.5549015 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-27 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Optical control Optical modulation Communication system security High speed optical techniques Radio frequency Bandwidth Communication system control Power system security Radiofrequency interference optical wireless fuzzy logic control adaptive modulation ANFIS |
| Content Type | Text |
| Resource Type | Article |
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