Machine Learning Meets Communication Networks: Current Trends and Future Challenges-Reference-Cited by-同舟云学术

Machine Learning Meets Communication Networks: Current Trends and Future Challenges

Published:2020 Issue: Volume:8 Page:223418-223460
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmad Ijaz^ORCID,Shahabuddin Shariar^ORCID,Malik Hassan^ORCID,Harjula Erkki^ORCID,Leppanen Teemu^ORCID,Loven Lauri^ORCID,Anttonen Antti^ORCID,Sodhro Ali Hassan^ORCID,Mahtab Alam Muhammad^ORCID,Juntti Markku^ORCID,Yla-Jaaski Antti^ORCID,Sauter Thilo^ORCID,Gurtov Andrei^ORCID,Ylianttila Mika^ORCID,Riekki Jukka^ORCID

Funder

Business Finland (formerly Tekes) and Academy of Finland through the projects: 6Genesis Flagship project

Center for Industrial Information Technology

Jorma Ollila Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09274307.pdf?arnumber=9274307

Cited by 70 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. Cybersecurity for tactical 6G networks: Threats, architecture, and intelligence;Future Generation Computer Systems;2025-01

2. A Rapid and Convenient Spatiotemporal Calibration Method of Roadside Sensors Using Floating Connected and Automated Vehicle Data;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. 6G Enabled Advanced Transportation Systems;IEEE Transactions on Intelligent Transportation Systems;2024-09

4. High-Speed Train Positioning Using Improved Extended Kalman Filter With 5G NR Signals;IEEE Transactions on Intelligent Transportation Systems;2024-08

5. DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes;Computer Networks;2024-07