Survey of Wireless Network MAC Protocols Using Reinforcement Learning 


Vol. 50,  No. 8, pp. 1265-1278, Aug.  2025
10.7840/kics.2025.50.8.1265


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  Abstract

In wireless networks with increasing demand and diverse environments, numerous issues such as collisions, delays, fairness, and power consumption are arising. Research is being discussed to enhance protocol performance by resolving or minimizing these issues using artificial intelligence technologies. This paper investigates studies that have applied reinforcement learning techniques to address the aforementioned problems in the MAC protocols of wireless network environments. It examines the issues present in wireless network MAC protocols and explores how reinforcement learning has been utilized. Finally, it outlines the challenges that need to be addressed in the future.

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[IEEE Style]

J. Park and W. Na, "Survey of Wireless Network MAC Protocols Using Reinforcement Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 8, pp. 1265-1278, 2025. DOI: 10.7840/kics.2025.50.8.1265.

[ACM Style]

Jun-young Park and Woongsoo Na. 2025. Survey of Wireless Network MAC Protocols Using Reinforcement Learning. The Journal of Korean Institute of Communications and Information Sciences, 50, 8, (2025), 1265-1278. DOI: 10.7840/kics.2025.50.8.1265.

[KICS Style]

Jun-young Park and Woongsoo Na, "Survey of Wireless Network MAC Protocols Using Reinforcement Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 8, pp. 1265-1278, 8. 2025. (https://doi.org/10.7840/kics.2025.50.8.1265)
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eISSN : 2287 - 3880