A review on deep learning autoencoder in the design of next-generation communication systems
Traditional mathematical models used in designing next-generation communication systems
often fall short due to inherent simplifications, narrow scope, and computational limitations …
often fall short due to inherent simplifications, narrow scope, and computational limitations …
Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
arxiv:2411.10101v1 [eess.SP] 15 Nov 2024 Page 1 Recent Advances on Machine Learning-aided
DSP for Short-reach and Long-haul Optical Communications Laurent Schmalen,1,* Vincent …
DSP for Short-reach and Long-haul Optical Communications Laurent Schmalen,1,* Vincent …
Hybrid Constellation Sha** 64QAM Based on Hexagonal Lattice of Constellation Subset
X Liu, Q Zhang, X ** technology. This paper proposes a hybrid …
[HTML][HTML] Machine learning opportunities for integrated polarization sensing and communication in optical fibers
As the bedrock of the Internet, optical fibers are ubiquitously deployed and historically
dedicated to ensuring robust data transmission. Leveraging their extensive installation …
dedicated to ensuring robust data transmission. Leveraging their extensive installation …
Neural-network-based carrier-less amplitude phase modulated signal generation and end-to-end optimization for fiber-terahertz integrated communication system
C Huang, L Tao, Z Li, J Jia, B Dong, S ** Robust to Semiconductor Laser Noise and Nonlinearity in Fiber-THz System
X Liu, J Zhang, M Zhu, Z **-based coherent WDM optical fiber communication system supported by deep-learning autoencoder
AM Abbass, RS Fyath - Results in Optics, 2024 - Elsevier
Geometric constellation sha** (GCS) has been proposed to enhance the performance of
wavelength-division multiplexing (WDM) coherent optical fiber communication (OFC) …
wavelength-division multiplexing (WDM) coherent optical fiber communication (OFC) …