Name
Abstract | ||
|---|---|---|
The dependency between the Gaussianity of the input distribution for the additive white Gaussian noise (AWGN) channel and the gap-to-capacity is discussed. We show that a set of particular approximations to the Maxwell- Boltzmann (MB) distribution virtually closes most of the shaping gap. We relate these symbol-level distributions to bit-level distributions, and demonstrate that they correspond to keeping some of the amplitude bit-levels uniform and independent of the others. Then we propose partial enumerative sphere shaping (P-ESS) to realize such distributions in the probabilistic amplitude shaping (PAS) framework. Simulations over the AWGN channel exhibit that shaping 2 amplitude bits of 16-ASK have almost the same performance as shaping 3 bits, which is 1.3 dB more power- efficient than uniform signaling at a rate of 3 bit/symbol. In this way, required storage and computational complexity of shaping are reduced by factors of 6 and 3, respectively. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VTCFall.2019.8891195 | 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) |
Keywords | Field | DocType |
partial enumerative sphere shaping,input distribution,additive white Gaussian noise channel,gap-to-capacity,symbol-level distributions,bit-level distributions,Maxwell-Boltzmann distribution,probabilistic amplitude shaping framework,AWGN channel,word length 3.0 bit,noise figure 1.3 dB | Topology,Efficient energy use,Communication channel,Probabilistic logic,Additive white Gaussian noise,Amplitude,Mathematics | Conference |
ISSN | ISBN | Citations |
1090-3038 | 978-1-7281-1221-3 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunus Can Gultekin | 1 | 9 | 3.02 |
| W. J. Van Houtum | 2 | 9 | 1.65 |
| A. G. C. Koppelaar | 3 | 10 | 3.72 |
| F. M. J. Willems | 4 | 25 | 6.37 |