Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA

We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the predicti...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 60; no. 8; pp. 4082 - 4088
Main Authors: Schmidt, J. F., Cousseau, J. E., Wichman, R., Werner, S.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.10.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Bit error rate
Channel estimation
Channel state information
Channels
Computer simulation
Detection, estimation, filtering, equalization, prediction
Equipments and installations
Errors
Exact sciences and technology
Histograms
Information, signal and communications theory
Kalman filters
Loading
Mobile radiocommunication systems
Multiplexing
OFDM
orthogonal frequency-division multiple-access (OFDMA)
prediction algorithm
Prediction algorithms
Radiocommunications
Resource allocation
scheduling algorithm
Signal and communications theory
Signal, noise
Stations
Strategy
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
time-varying channels
Transmission and modulation (techniques and equipments)
Transmitters
wireless communications
Performance evaluation
wireless communications
Parameter estimation
Histogram
Predictor
Wireless telecommunication
Resource allocation
Frequency division multiple access
Information rate
Transmitter
orthogonal frequency-division multiple-access (OFDMA)
Downlink
scheduling algorithm
Implementation
Channel estimation
time-varying channels
Traffic control
Channel state information
Mobile radiocommunication
Time variable channel
histograms
Flow rate regulation
Teletraffic
Scheduling
Algorithm
Information transmission
prediction algorithm
Telecommunication channels
Orthogonal frequency division multiplexing
System simulation
Planning
Resource management
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Description
Summary:We present a prediction-based resource allocation algorithm (RA) for orthogonal frequency-division multiple-access (OFDMA) downlink, where inaccuracies in the wireless channel predictions are accounted for in the problem formulation. As the prediction quality significantly degrades with the prediction horizon, we propose a solution based on the histogram of the prediction error. This characterization also enables different mobile stations (MSs) to use different channel predictors as it does not rely on a specific prediction scheme. Using this characterization of the prediction error and based on classical resource allocation strategies, we derive an algorithm that incorporates imperfect channel prediction information of future time slots. We evaluate the proposed algorithm using a practical low-complexity channel predictor suitable for implementation at the MSs. Simulation results show that the proposed algorithm outperforms previous prediction-based RA strategies without the characterization of the prediction error, and the system throughput is comparable with the case with perfect channel state information in the transmitter (CSIT).
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2011.2165305