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Jul, 2023
基于分层强化学习的低时延高可靠通信编排
Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning
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Wei Shi, Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Marina Petrova
TL;DR
应用多智能体分层强化学习框架,优化无线资源分配,在5G的超可靠低延迟通信服务中实现更好的性能并减少信号传输和延迟开销,特别适用于工厂自动化场景。
Abstract
ultra-reliable low latency communications
(URLLC) service is envisioned to enable use cases with strict reliability and latency requirements in 5G. One approach for enabling URLLC services is to leverage
reinforcement l
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