DocumentCode :
2135712
Title :
Performance of improved SLM method under multipath fading channel in OFDM systems
Author :
Ken Long ; Qiao Liu ; Yi Wang
Author_Institution :
Sch. of Commun. & Inf. Eng., Chongqing Univ. of Post & Telecommun., Chongqing, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1486
Lastpage :
1489
Abstract :
Selected mapping (SLM) scheme is one of the most popular peak-to-average power ratio (PAPR) reduction schemes for orthogonal frequency division multiplexing (OFDM) systems. The main drawbacks of the conventional SLM technique are the computational complexity and the need for transmission of several side information bits, for each data block, which results in loss in data rate transmission. In the proposed method the side information embeds in the predefined phase sequence. Simulation results show the PAPR reduction performance and the BER performance of improved blind SLM method under multipath fading channel in OFDM Systems compared to that under AWGN channel by using ML criteria at the receiver. The decoding computational complexity is much lower than that of the conventional B-SLM scheme.
Keywords :
AWGN channels; OFDM modulation; channel coding; computational complexity; error statistics; fading channels; maximum likelihood decoding; multipath channels; phase modulation; radio receivers; radio transmitters; AWGN channel; B-SLM scheme; BER performance; ML criteria; OFDM system; PAPR; computational complexity; data rate transmission; decoding; improved SLM method; multipath fading channel; orthogonal frequency division multiplexing system; peak-to-average power ratio reduction scheme; phase sequence; receiver; selected mapping scheme; several side information bit transmission; BSLM; ML; OFDM; SLM; multipath fading channel; time selective fading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
Type :
conf
DOI :
10.1109/BMEI.2012.6513080
Filename :
6513080
Link To Document :
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