Prediction based resource allocation in OFDMA

JORGE F. SCHMIDT; JUAN E. COUSSEAU; RISTO WICHMAN; STEFAN WERNER

Baltimore

Congreso; 45th Annual Conference on Information Sciences and Systems (CISS); 2011

Johns Hopkins University

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.