Name
Title | ||
|---|---|---|
Combining Efficient Probabilistic Shaping and Deep Neural Network to Mitigate Capacity Crunch in 5G Fronthaul |
Abstract | ||
|---|---|---|
We experimentally demonstrate a capacity-approaching transmission in 5G fronthaul utilizing PS-PAM8 and DNN. An 80-Gb/s over 20-km SSMF transmission performance is realized with a beyond 7.3-dB gross gain over uniform PAM modulations with linear post-equalization. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1364/OFC.2020.T4D.1 | OFC |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qi Zhou | 1 | 15 | 7.54 |
| Rui Zhang | 2 | 0 | 1.01 |
| You-Wei Chen | 3 | 2 | 5.46 |
| Shuyi Shen | 4 | 3 | 4.79 |
| Shang-Jen Su | 5 | 0 | 0.68 |
| Jeffrey Finkelstein | 6 | 0 | 0.34 |
| Gee-Kung Chang | 7 | 122 | 36.85 |