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    Prediction-based resource allocation for OFDM in wireless channels

    Prince, K. and 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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    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
    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:
    Depositing User: Subhrakanti Dey
    Date Deposited: 26 May 2021 13:29
    Publisher: IEEE
    Refereed: Yes
    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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