Carbon-Neutral Cellular Network Operation Based on Deep Reinforcement Learning

Carbon-Neutral Cellular Network Operation Based on Deep Reinforcement Learning

With the exponential growth of traffic demand, ultra-dense networks have been proposed to cope with such demand. However, the increase of the network density causes more power use, and carbon neutrality becomes an important concept to decrease the emission and production of carbon. In cellular netwo...

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Bibliographic Details
Main Authors:	Hojin Kim, Jaewoo So, Hongseok Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Energies
Subjects:	reinforcement learning carbon neutrality DDPG
Online Access:	https://www.mdpi.com/1996-1073/15/12/4504

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