Spectrally Efficient Non-Orthogonal Multi-band CAP UDWDM Fiber-MMW Integration for 6G RAN Employing NN-Based Direct Waveform to Symbol Conversion

Jiang Chen; Boyu Dong; Junlian Jia; Jianyang Shi; Tao Li; Chen Shen; Chen Shen; Junwen Zhang; Junwen Zhang; Nan Chi; Nan Chi

doi:10.1364/OFC.2022.Th1I.2

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Th1I.2
•https://doi.org/10.1364/OFC.2022.Th1I.2

Spectrally Efficient Non-Orthogonal Multi-band CAP UDWDM Fiber-MMW Integration for 6G RAN Employing NN-Based Direct Waveform to Symbol Conversion

Jiang Chen, Boyu Dong, Junlian Jia, Jianyang Shi, Tao Li, Chen Shen, Junwen Zhang, and Nan Chi

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

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6G Systems and Technologies (Th1I)

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J. Chen, B. Dong, J. Jia, J. Shi, T. Li, C. Shen, J. Zhang, and N. Chi, "Spectrally Efficient Non-Orthogonal Multi-band CAP UDWDM Fiber-MMW Integration for 6G RAN Employing NN-Based Direct Waveform to Symbol Conversion," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Th1I.2.

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Abstract

We propose a novel neural-network-based direct waveform-to-symbol conversion method in non-orthogonal multi-band CAP based UDWDM fiber-MMW integration system for 6G radio-access-network. Spectrally efficient fiber-MMW transmission is achieved at totally 384-Gbps capacity with 24 non-orthogonal sub-bands.

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