Name
Title | ||
|---|---|---|
Clipping Can Improve the Performance of Spatially Coupled Sparse Superposition Codes. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LCOMM.2017.2754262 | IEEE Communications Letters |
Keywords | Field | DocType |
Signal to noise ratio,Peak to average power ratio,Couplings,AWGN channels,Transfer functions,Message passing,Decoding | Superposition principle,Computer science,Signal-to-noise ratio,Algorithm,Real-time computing,Theoretical computer science,Transfer function,Gaussian,Decoding methods,Distortion,Clipping (audio),Message passing | Journal |
Volume | Issue | ISSN |
21 | 12 | 1089-7798 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shansuo Liang | 1 | 1 | 1.71 |
| Junjie Ma | 2 | 148 | 15.24 |
| Li Ping | 3 | 1046 | 98.88 |