Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

Abstract Ultra-reliable and low-latency communication (URLLC) in mobile networks is still one of the core solutions that require thorough research in 5G and beyond. With the vigorous development of various emerging URLLC technologies, resource shortages will soon occur even in mmWave cells with rich...

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Bibliographic Details
Main Authors: Qian Huang, Xianzhong Xie, Mohamed Cheriet
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Ultra-reliable and low-latency communication
Radio resource allocation
mmWave
Hybrid spectrum
Reinforcement learning
Multipath deep neural network
Online Access:https://doi.org/10.1186/s13638-020-01872-5

Internet

https://doi.org/10.1186/s13638-020-01872-5

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