Clipping Can Improve the Performance of Spatially Coupled Sparse Superposition Codes

被引：10
|
作者：
Liang, Shansuo [1 ]
Ma, Junjie [1 ,2 ]
Ping, Li [1 ]
机构：
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Columbia Univ, Dept Stat, New York, NY 10027 USA
来源：
IEEE COMMUNICATIONS LETTERS | 2017年 / 21卷 / 12期
关键词：
Sparse superposition codes; spatial coupling; generalized approximate message passing; clipping; potential function analysis; CAPACITY;
D O I：
10.1109/LCOMM.2017.2754262
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Gaussian signaling of spatially coupled sparse superposition codes incurs a high peak-to-average-power ratio (PAPR) problem. Clipping can be used to reduce PAPR. At the receiver side, generalized approximate message passing algorithm is employed to handle the non-linear clipping distortion. Surprisingly, we observe empirically that clipping can improve the performance in low-to-medium rate region. We provide an explanation of this observation based on potential function analysis.
引用
收藏
页码：2578 / 2581
页数：4
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