Channel Access and Power Control for Energy-Efficient Delay-Aware Heterogeneous Cellular Networks for Smart Grid Communications Using Deep Reinforcement Learning

Cellular technology with long-term evolution (LTE)-based standards is a preferable choice for smart grid neighborhood area networks due to its high availability and scalability. However, the integration of cellular networks and smart grid communications puts forth a significant challenge due to the...

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Bibliographic Details

Main Authors:	Fauzun Abdullah Asuhaimi, S. Bu, P. Valente Klaine, M. A. Imran
Format:	Article
Language:	en
Published:	IEEE 2024
Subjects:	Energy efficiency, end-to-end delay, ds. device-to-device communications, cellular networks, smart grids.
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