Deep Learning-Based Long-Term Power Allocation Scheme for NOMA Downlink System in S-IoT

Deep Learning-Based Long-Term Power Allocation Scheme for NOMA Downlink System in S-IoT

In this paper, we formulate a long-term resource allocation problem of non-orthogonal multiple access (NOMA) downlink system for the satellite-based Internet of Things (S-IoT) to achieve the optimal decoding order and power allocation. This long-term resource allocation problem of the satellite NOMA...

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Bibliographic Details
Main Authors: Yunyu Sun, Ye Wang, Jian Jiao, Shaohua Wu, Qinyu Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Satellite-based Internet of Things
deep learning
non-orthogonal multiple access
successive interference cancellation
Online Access:https://ieeexplore.ieee.org/document/8753483/

Internet

https://ieeexplore.ieee.org/document/8753483/

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