Neural Network based NOMA Demultiplexing with High Flexibility and Low Latency for 5G Radio-over-Fiber System

Mengzhe Liao; Jia-Shiang Tseng; Jhih-Heng Yan; Hung-Ru Chen; Shuan-Hau Liou; Kai-Ming Feng; Kai-Ming Feng

Asia Communications and Photonics Conference (ACPC) 2019
OSA Technical Digest (Optica Publishing Group, 2019),
paper T4B.3

Neural Network based NOMA Demultiplexing with High Flexibility and Low Latency for 5G Radio-over-Fiber System

Mengzhe Liao, Jia-Shiang Tseng, Jhih-Heng Yan, Hung-Ru Chen, Shuan-Hau Liou, and Kai-Ming Feng

Asia Communications and Photonics Conference 2019

Chengdu China
2–5 November 2019
ISBN: 978-1-943580-70-5

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Transmission and Detection Techniques (T4B)

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M. Liao, J. Tseng, J. Yan, H. Chen, S. Liou, and K. Feng, "Neural Network based NOMA Demultiplexing with High Flexibility and Low Latency for 5G Radio-over-Fiber System," in Asia Communications and Photonics Conference (ACPC) 2019, OSA Technical Digest (Optica Publishing Group, 2019), paper T4B.3.

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Abstract

We propose a neural network based NOMA demultiplexing for a BBU-centralized radio-over-fiber system. As each signal is parallel demultiplexed without referring to others or queuing, the latency and flexibility are greatly improved than SIC.

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