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Reinforcement Learning-based UL/DL Splitter for Latency Reduction in Wireless TSN Networks

Authors: Cabrera-Bean, Margarita; Pan, Wenli; Vidal Manzano, José;

Reinforcement Learning-based UL/DL Splitter for Latency Reduction in Wireless TSN Networks

Abstract

Reducing latency in Time-Sensitive Networking (TSN) networks is critical to fulfil real-time communicationrequirements, ensuring timely data delivery, and maintaining system responsiveness. Minimizing latency enhances the reliability of industrial automation, multimedia streaming, and other time-critical applications, ultimately optimizing overall network performance and user experience. One of the most critical points lies in the wireless segments, which cannot be considered as deterministic. Specially, when the traffic load between uplink and downlink is unbalanced, it is critical to allocate resources based on the volume of such traffic and on the channel state, both significantly impacting on packet latency. In this paper we present and compare a set of approaches to scheduling time slots within a wireless frame for communication between the uplink (UL)and downlink (DL) in a TSN network. The primary objective is to reduce latency in wireless transmissions, particularly in scenarios with stringent timing requirements. By optimizing the allocation of time slots between UL and DL, our proposed scheduling algorithm aims to minimize queueing delays while ensuring efficient utilization of network resources. The results highlight the significant reduction achieved in terms of queueinglatency and packet loss through our scheduling strategy, thereby enhancing the reliability and timeliness of wireless links in TSN networks.

Country
Spain
Keywords

UL/DL scheduling, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, time sensitive networks, Latency in TSN, Reinforcement Learning (RL), Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Reinforcement learning, Telecommunications networks, scheduling, Queueing delay, queueing delay

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green