Research on Virtual Channel Multiplexing Algorithm Based on Advanced Orbiting Systems

Bie, Yuxia; Tian, Yajie; Zhi, Hu; Jiang, Yueqiu

doi:10.1109/access.2018.2878524

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Behavior Coding1

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2023

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“…In this paper, the virtual channel is selected multiple times. For example, when the behavior code selected by the system is a=3 (downward), the number of virtual channels randomly selected for behavior coding is: 5, 6, 8, 2, 4, 3, 7, 2, and the original scheduling order of virtual channels is: [1,2,3,4,5,6,7,8], then the changes of virtual channels are shown in Figure 2:…”

Section: Behavior Codingmentioning

confidence: 99%

AOS virtual channel scheduling algorithm based on Q learning

Zhang¹,

Bie²,

Liu³

2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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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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