Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption

The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite important for network optimization. The current 5G and conceived 6G network in the future with ultra high density, bandwidth, mobility and large scale brings urgent requirement of high efficient end-to-end opt...

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Vydáno v:IEEE Communications surveys and tutorials Ročník 23; číslo 3; s. 1578 - 1598
Hlavní autoři: Tang, Fengxiao, Mao, Bomin, Kawamoto, Yuichi, Kato, Nei
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.01.2021
Témata:
6G mobile communication
adaptive bitrate streaming (ABR)
adaptive streaming control
channel assignment
congestion control
deep learning (DL)
End-to-end
Heuristic algorithms
machine learning (ML)
Machine learning algorithms
network access
Quality of experience
quality of experience (QoE)
Quality of service
quality of service (QoS)
Reinforcement learning
resource allocation
Routing
ISSN:2373-745X
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Shrnutí:The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite important for network optimization. The current 5G and conceived 6G network in the future with ultra high density, bandwidth, mobility and large scale brings urgent requirement of high efficient end-to-end optimization methods. The conventional network optimization methods without learning and intelligent decision ability are hard to handle the high complexity and dynamic scenarios of 6G. Recently, machine learning based QoS and QoE aware network optimization algorithms emerge as a hot research area and attract much attention, which is widely acknowledged as the potential solution for end-to-end optimization in 6G. However, there are still many critical issues of employing machine learning in networks, especially in 6G. In this paper, we give a comprehensive survey on the recent machine learning based network optimization methods to guarantee the end-to-end QoS and QoE. To easy to follow, we introduce the investigated works following the end-to-end transmission flow from network access, routing to network congestion control and adaptive steaming control. Then we discuss some open issues and potential future research directions.
ISSN:2373-745X
DOI:10.1109/COMST.2021.3073009