A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

Simultaneous wireless information and power transfer (SWIPT) and multi-carrier non-orthogonal multiple access (MC-NOMA) are promising technologies for future fifth generation and beyond wireless networks due to their potential capabilities in energy-efficient and spectrum-efficient system designs, r...

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Bibliographic Details
Main Authors: Jingci Luo, Jie Tang, Daniel K. C. So, Gaojie Chen, Kanapathippillai Cumanan, Jonathon A. Chambers
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Non-orthogonal multiple access (NOMA)
simultaneous wireless information and power transfer (SWIPT)
machine learning
Online Access:https://ieeexplore.ieee.org/document/8626195/

Internet

https://ieeexplore.ieee.org/document/8626195/

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