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23 May 2023 AOS virtual channel scheduling algorithm based on Q learning
Zhongyuan Zhang, Yuxia Bie, Chong Liu
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Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453B (2023) https://doi.org/10.1117/12.2680730
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
In order to efficiently transmit various types of spatial data in Advanced on-Orbit System (AOS), an AOS virtual channel scheduling algorithm based on Q learning is proposed. This algorithm comprehensively considers the service priority, scheduling delay and frame residual, establishes a reward function model, and evaluates the advantages and disadvantages of virtual channel sequencing according to the obtained Q value, and obtains the optimal virtual channel scheduling order after repeated iterative training. The simulation results show that the virtual channel scheduling algorithm based on Q learning has smaller average scheduling delay and frame residual, improves information transmission efficiency and optimizes system performance.
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Zhongyuan Zhang, Yuxia Bie, and Chong Liu "AOS virtual channel scheduling algorithm based on Q learning", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453B (23 May 2023); https://doi.org/10.1117/12.2680730
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KEYWORDS
Data transmission
Adaptive optics
Evolutionary algorithms
Machine learning
Engineering
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