Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee

Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee

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Large-scale terminals’ various QoS requirements are key challenges confronting the resource allocation of Satellite Internet of Things (S-IoT). This paper presents a deep reinforcement learning-based online channel allocation and power control algorithm in an S-IoT uplink scenario. The intelligent a...

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Bibliographic Details
Main Authors: Hu, G. (Author), Li, Y. (Author), Pan, Z. (Author), Tang, S. (Author), Wu, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
channel allocation
Channel allocation
Deep learning
deep reinforcement learning
Efficiency
Internet of things
Onboard training
power control
Power control
Power-control
Power-efficiency
QoS requirements
Quality of service
Reinforcement learning
Resource allocation
Resources allocation
Satellite internet
Satellite internet of thing
Satellite Internet of Things
Satellites
transfer learning
Transfer learning
various QoS
Various QoS
Online Access:View Fulltext in Publisher

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