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Machine Learning Enhanced CPU-GPU Simulation Platform for 5G System

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Mobile Networks and Management (MONAMI 2021)

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Abstract

The exponential growth of mobile terminals and the explosion of data volume are promoting the continuous evolution of mobile communication network and also increasing the complexity of the system. Meanwhile, 5G system-level simulation also requires more complex operations and more data processing. Conventional system simulation platform based on CPU can not satisfy the computing power requirement of system-level simulation of 5G. For tremendously shorten the execution time, we proposed to develop the CPU-GPU based parallelization platform, which adopts Logistic Regression algorithm to optimizing the use of computational resources. Numerical results demonstrate the effectiveness in terms of reducing execution time and guaranteeing reliability of system-level simulation result in 5G scenarios.

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Acknowledgement

This work was supported in part by the Program of Shanghai Academic/Technology Research Leader (No. 21XD1433700), the Science and Technology Commission Foundation of Shanghai (No. 20DZ1101200), and the Youth Innovation Promotion Association of CAS.

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Authors and Affiliations

  1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China

    Yuling Ouyang, Caiyuan Yin & Ting Zhou

  2. Shanghai Frontier Innovation Research Institute, Shanghai, China

    Yuling Ouyang & Ting Zhou

  3. College of Sciences, Shanghai Institute of Technology, Shanghai, China

    Yan Jin

  4. Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China

    Yan Jin

Authors
  1. Yuling Ouyang
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  2. Caiyuan Yin
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  3. Ting Zhou
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  4. Yan Jin
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Corresponding author

Correspondence to Ting Zhou .

Editor information

Editors and Affiliations

  1. Technical University of Valencia, Valencia, Spain

    Carlos T. Calafate

  2. VTT Technical Research Centre of Finland, Oulu, Finland

    Xianfu Chen

  3. University of Macau, Taipa, China

    Yuan Wu

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Ouyang, Y., Yin, C., Zhou, T., Jin, Y. (2022). Machine Learning Enhanced CPU-GPU Simulation Platform for 5G System. In: Calafate, C.T., Chen, X., Wu, Y. (eds) Mobile Networks and Management. MONAMI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-94763-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-94763-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-94762-0

  • Online ISBN: 978-3-030-94763-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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