5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach-Reference-Cited by-同舟云学术

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5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
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Author:

Chen Yun,Lin Xingqin,Khan Talha,Afshang Mehrnaz,Mozaffari Mohammad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9448628/9448629/09448879.pdf?arnumber=9448879

Cited by 5 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. Non-Terrestrial UAV Clients for Beyond 5G Networks: A Comprehensive Survey;Ad Hoc Networks;2024-04

2. PC-SSL: Peer-Coordinated Sequential Split Learning for Intelligent Traffic Analysis in mmWave 5G Networks;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

3. Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics;IEEE Open Journal of Vehicular Technology;2023

4. Channel Quality Prediction in 5G LTE Small Cell Mobile Network Using Deep Learning;2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI);2022-11-26

5. Toward 6G with Connected Sky: UAVs and Beyond;IEEE Communications Magazine;2021-12

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