Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption-Reference-Cited by-同舟云学术

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

Published:2021 Issue:3 Volume:23 Page:1578-1598
ISSN:1553-877X
Container-title:IEEE Communications Surveys & Tutorials
language:
Short-container-title:IEEE Commun. Surv. Tutorials

Author:

Tang Fengxiao^ORCID,Mao Bomin^ORCID,Kawamoto Yuichi^ORCID,Kato Nei^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9739/9520094/09403380.pdf?arnumber=9403380

Cited by 111 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards zero-energy: Navigating the future with 6G in Cellular Internet of Things;Journal of Network and Computer Applications;2024-10

2. Enabling High-Throughput Routing for LEO Satellite Broadband Networks: A Flow-Centric Deep Reinforcement Learning Approach;IEEE Internet of Things Journal;2024-09-01

3. High-Throughput Real-Time Reliable Data Collection in Wireless Sensor Network: Implementation and Analysis;IEEE Sensors Journal;2024-09-01

4. Traffic Rerouting Optimization Using Scheduling Algorithms;SN Computer Science;2024-08-02

5. Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review;ICT Express;2024-08

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