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Non-uniform Time Slice Parallel Simulation Method Based on Offline Learning for IEEE 802.11ax

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Smart Grid and Internet of Things (SGIoT 2022)

Abstract

With the rapid development of wireless networks, wireless local area networks (WLAN) are becoming more and more complex and densely deployed, resulting in a significant increase in the time consumption of traditional serial simulations. Aiming at the time consumption problem of traditional discrete-event-based WLAN serial simulation, A parallel simulation method is proposed based on offline learning with non-uniform time slices, which effectively reduces the time consumption. Firstly, the parallel simulation task is modeled as a problem of completing the simulation task within a given time consumption threshold constraint based on the processes pool. Secondly, the time consumption factor is obtained by offline learning of the simulation platform. Thirdly, the parallel simulation algorithm of non-uniform time slice division (NUTSD) based on the time consumption factor is proposed to analyze and solve the problem. Finally, the method is simulated and verified. The simulation results show that this method can greatly reduce time consumption.

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Acknowledgement

This work was supported in part by the National Natural Science Foundations of CHINA (Grant No. 61771392, No. 61871322 and No. 61771390), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 201955053002 and No. 20185553035).

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Correspondence to Zhongjiang Yan .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xin, Y., Yang, M., Yan, Z., Li, B. (2023). Non-uniform Time Slice Parallel Simulation Method Based on Offline Learning for IEEE 802.11ax. In: Deng, DJ., Chao, HC., Chen, JC. (eds) Smart Grid and Internet of Things. SGIoT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-31275-5_17

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  • DOI: https://doi.org/10.1007/978-3-031-31275-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-31274-8

  • Online ISBN: 978-3-031-31275-5

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