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
- Asia Communications and Photonics Conference, ACP, Vol.2019-November
- Identifiers
- 9781943580705; 9957768520806774
- Copyright
- © Asia Communications and Photonics Conference (ACP) OSA 2019
- Academic Unit
- Institute of Photonics Technologies, College of Electrical Engineering and Computer Science, National Tsing Hua University
- Language
- English
- Resource Type
- Conference paper