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Reinforcement Learning Approach for Adaptive C-V2X Resource Management

Author

Listed:
  • Teguh Indra Bayu

    (Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan
    Department of Informatics Engineering, Satya Wacana Christian University, Salatiga 50711, Indonesia)

  • Yung-Fa Huang

    (Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Jeang-Kuo Chen

    (Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

Abstract

The modulation coding scheme (MCS) index is the essential configuration parameter in cellular vehicle-to-everything (C-V2X) communication. As referenced by the 3rd Generation Partnership Project (3GPP), the MCS index will dictate the transport block size (TBS) index, which will affect the size of transport blocks and the number of physical resource blocks. These numbers are crucial in the C-V2X resource management since it is also bound to the transmission power used in the system. To the authors’ knowledge, this particular area of research has not been previously investigated. Ultimately, this research establishes the fundamental principles for future studies seeking to use the MCS adaptability in many contexts. In this work, we proposed the application of the reinforcement learning (RL) algorithm, as we used the Q-learning approach to adaptively change the MCS index according to the current environmental states. The simulation results showed that our proposed RL approach outperformed the static MCS index and was able to attain stability in a short number of events.

Suggested Citation

  • Teguh Indra Bayu & Yung-Fa Huang & Jeang-Kuo Chen, 2023. "Reinforcement Learning Approach for Adaptive C-V2X Resource Management," Future Internet, MDPI, vol. 15(10), pages 1-15, October.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:10:p:339-:d:1260089
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    References listed on IDEAS

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    1. Youngjoon Yoon & Hyogon Kim, 2021. "Resolving Persistent Packet Collisions through Broadcast Feedback in Cellular V2X Communication," Future Internet, MDPI, vol. 13(8), pages 1-21, August.
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