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Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications
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Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.
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Keywords
- artificial intelligence (AI)
- ASE noise
- blind recognition
- BPSK-SSB
- BPSK-VSB
- cancer cell recognition
- Classification
- Deep Learning (DL)
- dispersion Fourier transform
- DWDM-FSO/PON optical fiber network
- Dynamic Bandwidth Allocation
- fiber
- fiber nonlinearities
- fiber transmission
- frame transmission
- FSOC system
- high-flux imaging
- Hough transform
- hybrid fiber FSO (HFFSO) link
- hybrid OOK/M-ary DPPM-M-PAPM
- ICC
- laser tuning time
- Machine learning
- Mathematics & science
- miniaturization
- n/a
- network analysis
- omnidirectional communication
- optical access networks
- Optical Communication
- Optical communications
- optical neural networks
- passive optical networks
- patent analysis
- photon time stretching (PTS)
- Physics
- Reference, information & interdisciplinary subjects
- Research & information: general
- Scheduling
- synchronization word
- technical analysis
- time lens
- TWDM
Links
DOI: 10.3390/books978-3-0365-4135-8Editions