We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.
|Title of host publication||Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)|
|Number of pages||3|
|Publication status||Accepted/In press - 13 Apr 2022|
|Event||2022 Optical Fiber Communications Conference and Exhibition (OFC) - San Diego, United States|
Duration: 6 Mar 2022 → 10 Mar 2022
|Conference||2022 Optical Fiber Communications Conference and Exhibition (OFC)|
|Period||6/03/22 → 10/03/22|