Prince, K., Krongold, B. and Dey, Subhrakanti (2006) Prediction-based resource allocation for OFDM in wireless channels. In: 2005 Australian Communications Theory Workshop. IEEE, pp. 260-265. ISBN 0780390075
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Abstract
We extend our previous work on optimal dynamic resource allocation in wireless environments to incorporate prediction of the frequency-selective OFDM channel. We briefly summarize our previous work and its exploitation of convexity for the resource allocation problem in point-to-point digital wireless communication links. We introduce channel prediction to overcome latency associated with symbol recovery, channel estimation, and channel-state feedback, which previously restricted resource allocation algorithms to implementation in slowly-fading channel environments. The resource-allocation framework is augmented with channel prediction functionality, and we demonstrate its use with a channel model exhibiting frequency-selective fading with a limited time autocorrelation. Results are presented, illustrating successful implementation, and we conclude with an outline of the course of future investigation to make channel-prediction-based resource allocation a viable technique in practical OFDM systems.
Item Type: | Book Section |
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Additional Information: | Cite as: K. Prince, B. Krongold and S. Dey, "Prediction-Based Resource Allocation for OFDM in Wireless Channels," 2005 Australian Communications Theory Workshop, 2005, pp. 260-265, doi: 10.1109/AUSCTW.2005.1624261. |
Keywords: | Prediction-Based; Resource; Allocation; OFDM; Wireless Channels; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 14458 |
Identification Number: | 10.1109/AUSCTW.2005.1624261 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 26 May 2021 13:29 |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14458 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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