Prediction based resource allocation in OFDMA

We present a prediction-based resource allocation algorithm (RA) for OFDMA downlink over mobile wireless channels, where prediction errors are incorporated in the problem formulation. A solution based on the empirical characterization of the prediction error is proposed. We test the proposed scheme...

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Bibliographic Details
Published in:2011 45th Annual Conference on Information Sciences and Systems pp. 1 - 4
Main Authors: Schmidt, J F, Cousseau, J E, Wichman, R, Werner, S
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2011
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ISBN:1424498465, 9781424498468
Online Access:Get full text
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Summary:We present a prediction-based resource allocation algorithm (RA) for OFDMA downlink over mobile wireless channels, where prediction errors are incorporated in the problem formulation. A solution based on the empirical characterization of the prediction error is proposed. We test the proposed scheme on a realistic scenario using a practical low complexity channel predictor, suitable for implementation at the mobile stations. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without prediction error characterization, and the system throughput is comparable to the case with perfect channel state information in the transmitter.
ISBN:1424498465
9781424498468
DOI:10.1109/CISS.2011.5766224