1. |
|
|
2. |
- He, Zonglong, 1994, et al.
(författare)
-
Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity
- 2021
-
Ingår i: 2021 European Conference on Optical Communication, ECOC 2021. - 9781665438681
-
Konferensbidrag (refereegranskat)abstract
- We experimentally demonstrate a symbol-based nonlinear digital predistortion (DPD) technique utilizing supervised learning, which is robust against a change of modulation format. Back-to-back transmission of 30 Gbaud 32, 64 and 256QAM confirms that our scheme significantly outperforms the baseline of arcsine-based predistortion.
|
|
3. |
- Mirani, Ali, 1992, et al.
(författare)
-
Experimental Demonstration of 8-Dimensional Voronoi Constellations with 65,536 and 16,777,216 Symbols
- 2021
-
Ingår i: 2021 European Conference on Optical Communication, ECOC 2021. - 9781665438681
-
Konferensbidrag (refereegranskat)abstract
- We experimentally demonstrate high-cardinality, low-complexity Voronoi constellations based on the E8 lattice over multiple time slots with OSNR and launch power gains of up to 1.7 and 2.4 dB for back-to-back and 80 km fiber transmission, respectively, compared to QAM formats.
|
|
4. |
- Song, Jinxiang, 1995, et al.
(författare)
-
Over-the-fiber Digital Predistortion Using Reinforcement Learning
- 2021
-
Ingår i: 2021 European Conference on Optical Communication, ECOC 2021. - 9781665438681
-
Konferensbidrag (refereegranskat)abstract
- We demonstrate, for the first time, experimental over-the-fiber training of transmitter neural networks (NNs) using reinforcement learning. Optical back-to-back training of a novel NN-based digital predistorter outperforms arcsine-based predistortion with up to 60% bit-error-rate reduction.
|
|
5. |
|
|