Deep Reinforcement Learning-Based Adaptive Scheduling for Wireless Time-Sensitive Networking
Hanjin Kim,
Young-Jin Kim,
Won-Tae Kim
Abstract:Time-sensitive networking (TSN) technologies have garnered attention for supporting time-sensitive communication services, with recent interest extending to the wireless domain. However, adapting TSN to wireless areas faces challenges due to the competitive channel utilization in IEEE 802.11, necessitating exclusive channels for low-latency services. Additionally, traditional TSN scheduling algorithms may cause significant transmission delays due to dynamic wireless characteristics, which must be addressed. Th… Show more
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