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

页码：2578 / 2581

页数：4

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