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