DocumentCode :
2211900
Title :
Bit rate maximization for LP-OFDM with noisy channel estimation
Author :
Muhammad, Fahad Syed ; Baudais, Jean-Yves ; Hélard, Jean-François
Author_Institution :
Inst. of Electron. & Telecommun. of Rennes (IETR), Rennes, France
fYear :
2009
fDate :
28-30 Sept. 2009
Firstpage :
1
Lastpage :
6
Abstract :
The resource allocation problem to maximize the bit rate of a linear precoded orthogonal frequency division multiplexing (LP-OFDM) system is considered taking into account the effects of imperfect channel state information. A discrete bit loading algorithm is proposed, which sustains the target bit error rate even under high mean square error (MSE) of estimation. The proposed scheme enhances the robustness of the system against noisy channel estimation without significantly compromising on the system throughput. It is shown that the proposed LP-OFDM allocation is more robust to estimation noise than OFDM allocations and provides sustainable mean bit error rate performance even at high MSEs. The results are shown for a power line communication system using a well-known multipath channel model.
Keywords :
OFDM modulation; channel estimation; error statistics; mean square error methods; optimisation; LP-OFDM; bit rate maximization; channel state information; discrete bit loading algorithm; linear precoded orthogonal frequency division multiplexing; mean square error method; noisy channel estimation; resource allocation; Bit error rate; Bit rate; Channel estimation; Channel state information; Estimation error; Mean square error methods; Noise robustness; OFDM; Resource management; Throughput; Adaptive modulation; imperfect channel state information; linear precoded orthogonal frequency division multiplexing (LP-OFDM); multiaccess communications; power line communications (PLC); resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communication Systems, 2009. ICSPCS 2009. 3rd International Conference on
Conference_Location :
Omaha, NE
Print_ISBN :
978-1-4244-4473-1
Electronic_ISBN :
978-1-4244-4474-8
Type :
conf
DOI :
10.1109/ICSPCS.2009.5306408
Filename :
5306408
Link To Document :
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