Reinforcement-Learning-Enabled Massive Internet of Things for 6G Wireless Communications-Reference-Cited by-同舟云学术

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Reinforcement-Learning-Enabled Massive Internet of Things for 6G Wireless Communications

Published:2021-06 Issue:2 Volume:5 Page:126-131
ISSN:2471-2825
Container-title:IEEE Communications Standards Magazine
language:
Short-container-title:IEEE Comm. Stand. Mag.

Author:

Ali Rashid,Ashraf Imran,Bashir Ali Kashif,Zikria Yousaf Bin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Management of Technology and Innovation,Law,Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/7886829/9464914/09464923.pdf?arnumber=9464923

Cited by 17 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. Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems;IEEE Internet of Things Journal;2024-06-01

2. Energy-Efficient Communication Protocols for 6G Wireless Sensor Network;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

3. Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity;IEEE Access;2024

4. A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach;IEEE Access;2024

5. A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things;IEEE Access;2024

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