Data Acquisition and Visualization for AI/ML-based Radio Resource Management Optimization in the ns-O-RAN Framework-Reference-Cited by-同舟云学术

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Data Acquisition and Visualization for AI/ML-based Radio Resource Management Optimization in the ns-O-RAN Framework

Published:2024-07-02 Issue: Volume: Page:476-478
ISSN:
Container-title:2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN)
language:
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Author:

Hong Seung-Eun¹,Moon Jungmo¹,Lee Jaewook²

Affiliation:

1. Mobile Communication Research Section ETRI,Daejeon,Rep. of Korea

2. Pukyong National University,Dep. Of Information and Communication Engineering,Busan,Rep. of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624687/10624749/10625194.pdf?arnumber=10625194

Reference9 articles.

1. Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

2. OpenRAN Gym: An Open Toolbax for Data Collection and Experimentation with AI in O-RAN;Bonati,2022

3. O-RAN with Machine Learning in ns-3

4. ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

5. Development on Open-RAN Simulator with 5G-LENA

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