2022
DOI: 10.3390/mi13122132
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Vertical Cavity Surface Emitting Laser Performance Maturing through Machine Learning for High-Yield Optical Wireless Network

Abstract: The high-yield optical wireless network (OWN) is a promising framework to strengthen 5G and 6G mobility. In addition, high direction and narrow bandwidth-based laser beams are enormously noteworthy for high data transmission over standard optical fibers. Therefore, in this paper, the performance of a vertical cavity surface emitting laser (VCSEL) is evaluated using the machine learning (ML) technique, aiming to purify the optical beam and enable OWN to support high-speed, multi-user data transmission. The ML t… Show more

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Cited by 2 publications
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“…In this Special Issue, we are glad to collect 15 research articles covering a broad area, including optical field modulation [ 11 ], laser fabrication techniques [ 12 , 13 ], optical measurement [ 14 , 15 , 16 , 17 , 18 ], on-chip photonic devices [ 19 , 20 , 21 , 22 ], super-resolution imaging [ 23 , 24 ], and related theoretical [ 25 ] investigations.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…In this Special Issue, we are glad to collect 15 research articles covering a broad area, including optical field modulation [ 11 ], laser fabrication techniques [ 12 , 13 ], optical measurement [ 14 , 15 , 16 , 17 , 18 ], on-chip photonic devices [ 19 , 20 , 21 , 22 ], super-resolution imaging [ 23 , 24 ], and related theoretical [ 25 ] investigations.…”
mentioning
confidence: 99%
“…Four of them correspond to the development of on-chip and integrable photonic devices, which is a major branch of micromachines. Armghan et al [ 19 ] employed a machine-learning method to assist in the design of VCSEL for high-yield optical wireless networks. Chen et al [ 20 ] developed a plenoptic camera based on an electrically tunable liquid crystal with a hexagonal-period liquid crystal array for all-in-focus polarimetric imaging, dedicated to providing more optical information for both scientific and daily applications.…”
mentioning
confidence: 99%