Title
Prediction based resource allocation in OFDMA
Abstract
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.
Year
DOI
Venue
2011
10.1109/CISS.2011.5766224
Information Sciences and Systems
Keywords
Field
DocType
OFDM modulation,frequency division multiple access,mobile radio,wireless channels,OFDMA downlink,empirical characterization,low-complexity channel predictor,mobile stations,mobile wireless channels,orthogonal frequency division multiple access downlink,perfect channel state information,prediction error characterization,prediction-based RA strategies,prediction-based resource allocation algorithm
Mathematical optimization,Computer science,Computer network,Communication channel,Resource allocation,Frequency-division multiple access,Throughput,Orthogonal frequency-division multiplexing,Channel state information,Bit error rate,Telecommunications link
Conference
ISBN
Citations 
PageRank 
978-1-4244-9847-5
1
0.39
References 
Authors
8
4
Name
Order
Citations
PageRank
Jorge F. Schmidt13310.28
Juan E. Cousseau2133.49
Risto Wichman31860130.53
Stefan Werner41545124.74