@inproceedings{1d2db2e0ca064262a4edf9d332d2dc18,
title = "Joint Optimization of Computation Offloading and Power Allocation Based on DRL in Secure LEO Satellite Edge Computing System",
abstract = "Low earth orbit (LEO) satellites can be equipped with mobile edge computing (MEC) servers to form LEO satellite edge computing system to provide global services for ground users. In order to solve eavesdropping attacks in LEO satellite edge computing system, this paper designs a secure LEO satellite edge computing system, which uses deep reinforcement learning (DRL) to obtain offloading decisions and convex optimization algorithm to obtain sub-optimal power allocation scheme. Simulation results show that the proposed algorithm has excellent convergence effect and is superior to other comparative algorithms.",
keywords = "DRL, LEO satellite, convex optimization, edge computing, power allocation",
author = "Jian Wu and Min Jia and Qing Guo and Xuemai Gu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 23rd IEEE International Conference on Communication Technology, ICCT 2023 ; Conference date: 20-10-2023 Through 22-10-2023",
year = "2023",
doi = "10.1109/ICCT59356.2023.10419561",
language = "英语",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1668--1671",
booktitle = "2023 IEEE 23rd International Conference on Communication Technology",
address = "美国",
}