DocumentCode :
266375
Title :
Distortion modeling and analysis for multilevel coded APSK with memoryless nonlinearity
Author :
Yoda, Daiki ; Ochiai, Hideki
Author_Institution :
Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Yokohama, Japan
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
2874
Lastpage :
2879
Abstract :
In order to improve the bandwidth efficiency of communication systems under strict power limitation, the use of multilevel modulation together with near capacity channel coding is essential. However, such an approach is sensitive to nonlinear distortion associated with high peak-to-average power ratio (PAPR) of the resulting signals. We consider the application of the multilevel coded modulation with multi-stage decoding (MLC/MSD) over nonlinear communication channels and propose a robust unconventional set partitioning approach in conjunction with the metric adjusted to the statistical characteristics of nonlinear distortion. Numerical results show that the proposed method outperforms the system with the conventional labeling in terms of achievable average mutual information (AMI) and frame error rate (FER).
Keywords :
amplitude shift keying; channel coding; error statistics; memoryless systems; modulation coding; nonlinear distortion; phase shift keying; AMI; FER; MLC; MSD; PAPR; average mutual information; bandwidth efficiency improvement; communication systems; frame error rate; memoryless nonlinearity; multilevel coded APSK; multilevel coded modulation; multistage decoding; near capacity channel coding; nonlinear communication channel; nonlinear distortion modeling; peak-to-average power ratio; robust unconventional set partitioning approach; statistical characteristics; Attenuation; Constellation diagram; Decoding; Encoding; Labeling; Nonlinear distortion; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037244
Filename :
7037244
Link To Document :
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