Application of MAC Protocol Reinforcement Learning in Wireless Network Environment

This paper has introduced studies on applying reinforcement learning to MAC protocols in wireless networks to enhance network performance. As services and users demanding improved network performance increase, using reinforcement learning in MAC protocols can significantly enhance overall network performance. Continued research on MAC protocols based on preceding studies could lead to the development of protocols that reduce power consumption while achieving low latency and high throughput.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827347
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of MAC Protocol Reinforcement Learning in Wireless Network Environment

Woongsoo Na, Junyoung Park
Wireless Sensor Networks and IoT
article

Application of MAC Protocol Reinforcement Learning in Wireless Network Environment

Woongsoo Na, Junyoung Park
article en

Abstract

This paper has introduced studies on applying reinforcement learning to MAC protocols in wireless networks to enhance network performance. As services and users demanding improved network performance increase, using reinforcement learning in MAC protocols can significantly enhance overall network performance. Continued research on MAC protocols based on preceding studies could lead to the development of protocols that reduce power consumption while achieving low latency and high throughput.

Kongju National University (KR)
Openalex Percentile: Top 69%
Wireless Sensor Networks and IoT
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Application of MAC Protocol Reinforcement Learning in Wireless Network Environment — Woongsoo Na, Junyoung Park · (2024) | TGRS Research Map | TGRS