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9 October 2022 Network access control in Space-Air-Ground Integrated Network based on reinforcement learning
Hua Qu, MengYang Zou, Xiaodong Yuan, Jihong Zhao, Feng Zhou
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Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122461S (2022) https://doi.org/10.1117/12.2643737
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
Space-Air-Ground Integrated network(SAGIN) is a heterogeneous network which combines ground network, air network and space network. In SAGIN, a sub-network access algorithm based on reinforcement learning is proposed to make full use of multi-dimensional network resources, improve network delay and reduce packet loss rate. The algorithm learns from the environment iteratively and revises the model constantly, so as to make the optimal access choice. In the simulation experiment, the ASA-RL algorithm has obvious improvement over the comparison algorithm in terms of communication delay and packet loss rate.
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Hua Qu, MengYang Zou, Xiaodong Yuan, Jihong Zhao, and Feng Zhou "Network access control in Space-Air-Ground Integrated Network based on reinforcement learning", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122461S (9 October 2022); https://doi.org/10.1117/12.2643737
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KEYWORDS
Networks
Satellites
Network architectures
Satellite communications
Telecommunications
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