Choose, Not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN
Author:
Affiliation:
1. Universidad Carlos III de Madrid,Spain
2. iTEAM Research Institute Universitat Politècnica de València,Spain
3. CNR-IEIIT,Torino,Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/35/10106131/09992174.pdf?arnumber=9992174
Reference15 articles.
1. Minimum delay function placement and resource allocation for Open RAN (O-RAN) 5G networks
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4. An optimal multitier resource allocation of cloud RAN in 5G using machine learning
5. CellOS: Zero-touch Softwarized Open Cellular Networks
Cited by 2 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. AI/ML Model Training in O-RAN: Assessing Datasets for Hoarding and Choosing Strategies;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17
2. Open Radio Access Network challenges for Next Generation Mobile Network;2023 26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN);2023-03-06
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