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.
- Title
- Neural network based noma demultiplexing with high flexibility and low latency for 5G radio-over-fiber system
- Translated title
- Neural network based noma demultiplexing with high flexibility and low latency for 5G radio-over-fiber system
- Creators - without role
- Mengzhe Liao - Institute of Communications Engineering , National Tsing Hua UniversityJia-Shiang Tseng - Institute of Communications Engineering , National Tsing Hua UniversityJhih-Heng Yan - Institute of Communications Engineering , National Tsing Hua UniversityHung-Ru Chen - Institute of Communications Engineering , National Tsing Hua UniversityShuan-Hau Liou - Institute of Communications Engineering , National Tsing Hua UniversityKai-Ming Feng - Institute of Communications Engineering , National Tsing Hua University
- Publication Details
- Optics InfoBase Conference Papers, Vol.Part F138-ACPC 2019
- Identifiers
- 9781557528209; 9957766995606774
- Copyright
- Asia Communications and Photonics Conference (ACP) © OSA 2019 © 2019 The Author(s)
- Academic Unit
- Institute of Photonics Technologies, College of Electrical Engineering and Computer Science, National Tsing Hua University
- Language
- English
- Resource Type
- Conference paper