DocumentCode :
3237641
Title :
Mean BER minimization loading algorithm for linear precoded OFDM
Author :
Muhammad, Fahad Syed ; Stephan, Antoine ; Baudais, Jean-Yves ; Hélard, Jean-François
Author_Institution :
Inst. of Electron. & Telecommun. of Rennes (IETR), Rennes
fYear :
2009
fDate :
March 30 2009-April 1 2009
Firstpage :
1
Lastpage :
5
Abstract :
The problem of minimization of mean bit error rate (BER) of a linear precoded orthogonal frequency division multiplexing (LP-OFDM) system is considered. The discrete bit loading algorithms are proposed, which minimize the mean BER of the system for a target bit rate under a peak power constraint. The results are shown for a power line communication system using a well-known multipath channel model. The other, more common, robustness optimization problem is the margin maximization. The obtained results are compared with those of the margin maximization for both OFDM and LP-OFDM schemes. It is shown that the proposed LP-OFDM allocation performs better than the previously published algorithms for poor SNR. Moreover, it is observed that the LP-OFDM allocations have lower computational complexity than the OFDM allocations.
Keywords :
OFDM modulation; carrier transmission on power lines; computational complexity; error statistics; linear codes; multipath channels; precoding; computational complexity; linear precoded OFDM; linear precoded orthogonal frequency division multiplexing; mean BER minimization loading algorithm; mean bit error rate; multipath channel model; power line communication system; Amplitude modulation; Bit error rate; Bit rate; Error analysis; Minimization methods; OFDM modulation; Power line communications; Quadrature amplitude modulation; Resource management; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-3381-0
Electronic_ISBN :
978-1-4244-3382-7
Type :
conf
DOI :
10.1109/SARNOF.2009.4850349
Filename :
4850349
Link To Document :
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