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

Jingci Luo; Jie  Tang; Daniel So; Gaojie  Chen; Kanapathippillai Cumanan; Jonathon  Chambers

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

Jingci Luo, Jie Tang, Daniel So, Gaojie Chen, Kanapathippillai Cumanan, Jonathon Chambers

Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	9
Journal	IEEE Access
Publication status	Accepted/In press - 22 Jan 2019

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Access to Document

FINAL Article
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Accepted author manuscript, 686 KB

Cite this

@article{a96d69a0c3fa47f68272d12e5ccd222d,

title = "A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA with SWIPT",

author = "Jingci Luo and Jie Tang and Daniel So and Gaojie Chen and Kanapathippillai Cumanan and Jonathon Chambers",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details. ",

year = "2019",

month = jan,

day = "22",

language = "English",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "IEEE",

}

TY - JOUR

T1 - A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA with SWIPT

AU - Luo, Jingci

AU - Tang, Jie

AU - So, Daniel

AU - Chen, Gaojie

AU - Cumanan, Kanapathippillai

AU - Chambers, Jonathon

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2019/1/22

Y1 - 2019/1/22

M3 - Article

SN - 2169-3536

JO - IEEE Access

JF - IEEE Access

ER -