Cost-efficient computation offloading in SAGIN: a deep reinforcement learning and perception-aided approach

Cost-efficient computation offloading in SAGIN: a deep reinforcement learning and perception-aided approach

The Space-Air-Ground Integrated Network (SAGIN), crucial to the advancement of sixth-generation (6G) technology, plays a key role in ensuring universal connectivity, particularly by addressing the communication needs of remote areas lacking cellular network infrastructure. This paper delves into the...

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Bibliographic Details
Main Authors:	Gao, Yulan, Ye, Ziqiang, Yu, Han
Other Authors:	College of Computing and Data Science
Format:	Journal Article
Language:	English
Published:	2024
Subjects:	Computer and Information Science Space-air-ground integrated network Deep reinforcement learning
Online Access:	https://hdl.handle.net/10356/181022

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