DocumentCode :
2984822
Title :
Efficient Rate-Adaptive Modulation for LDPC-Coded OFDM System
Author :
Wang, Xiaoqing ; Wang, Jintao ; Song, Jian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
3684
Lastpage :
3688
Abstract :
Adaptive coded modulation (ACM) is a key technique to increase spectral as well as power efficiency for orthogonal frequency division multiplexing (OFDM) systems. In this paper, an efficient rate adaptive low density parity check (LDPC) coded modulation (RALCM) algorithm is proposed, which maximizes the payload rate for OFDM systems under the constraint of the given transmit power and the target bit error rate (BER). Taking advantage of the two dimensional look up table for the signal to noise ratio (SNR) thresholds, the RALCM algorithm assigns different combinations of the LDPC code rates and quadrature amplitude modulation (QAM) modulations for subcarriers according to the channel frequency response (CFR). Both theoretical analysis and computer simulation show that the proposed algorithm not only efficiently improves the payload rate of the LDPC coded OFDM system over frequency selective fading channels, but also inherently reduces the computational complexity of the system optimization.
Keywords :
OFDM modulation; adaptive modulation; computational complexity; error statistics; parity check codes; quadrature amplitude modulation; BER; LDPC code; OFDM system; QAM; RALCM algorithm; adaptive coded modulation; bit error rate; computational complexity; low density parity check code; orthogonal frequency division multiplexing; quadrature amplitude modulation; signal-to-noise ratio; Bit error rate; OFDM; Optimization; Parity check codes; Quadrature amplitude modulation; Signal to noise ratio; computational complexity; orthogonal frequency division multiplexing (OFDM); rate adaptive low density parity check (LDPC) coded modulation (RALCM); two dimension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.899
Filename :
5630125
Link To Document :
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