Robustness of Adaptive Symbol Decision against Transmitter Impairments on GS-QAM Signals
We demonstrate the effectiveness of a digital coherent receiver based on a neural network against geometrically shaped QAM (GS-QAM) signals degraded by transmitter impairments. Simulations confirm substantial improvements in performance that offset the signal degradation created by transmitter impairments including quantization noise and IQ imbalance.
Authors
- Ryota Higuchi
- Tsuyoshi Sekizuka (ORCID: https://orcid.org/0000-0002-1302-5472)
- Takuma Kuno (ORCID: https://orcid.org/0000-0001-5317-1792)
- Yojiro Mori (ORCID: https://orcid.org/0000-0002-7800-5843)
- Hiroshi Hasegawa (ORCID: https://orcid.org/0000-0002-8987-5502)
Institutions
- Nagoya University (JP)
Publication Details
- Published
- 2024-11-10
- DOI
- https://doi.org/10.1109/ipc60965.2024.10799689
- Primary Topic
- Advanced Wireless Communication Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Foundation for Science and Technology