Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks-Reference-Cited by-同舟云学术

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Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks

Published:2024-03 Issue:1 Volume:19 Page:16-31
ISSN:1556-6072
Container-title:IEEE Vehicular Technology Magazine
language:
Short-container-title:IEEE Veh. Technol. Mag.

Author:

Thomas Christo Kurisummoottil¹^ORCID,Chaccour Christina²^ORCID,Saad Walid¹^ORCID,Debbah Mérouane³^ORCID,Hong Choong Seon⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA

2. Ericsson Inc., Plano, TX, USA

3. Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

4. Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10209/10474511/10443484.pdf?arnumber=10443484

Reference28 articles.

1. Artificial intelligence in 3GPP 5G-advanced: A survey;Lin,2023

2. Deep Learning in Mobile and Wireless Networking: A Survey

3. Lifelong Machine Learning

4. Can we trust the evaluation on ChatGPT?

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. Internet of Federated Digital Twins: Connecting Twins Beyond Borders for Society 5.0;IEEE Internet of Things Magazine;2024-09

2. Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems;IEEE Network;2024-09

3. Telecom’s Artificial General Intelligence (AGI) Vision: Beyond the GenAI Frontier;IEEE Network;2024-09

4. Semi-blind Channel Estimation Leveraging Frequency Correlation;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

5. Machine Learning With Computer Networks: Techniques, Datasets, and Models;IEEE Access;2024

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