Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach-Reference-Cited by-同舟云学术

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Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach

Published:2024-05-05 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
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Author:

Semiari Omid¹,Nikopour Hosein¹,Talwar Shilpa¹

Affiliation:

1. Intel Labs,Santa Clara,CA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624960.pdf?arnumber=10624960

Reference20 articles.

1. Beyond 5G URLLC evolution: New service modes and practical considerations;Alves,2021

2. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

3. Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications

4. Statistical tools and methodologies for URLLC – a tutorial;López,2022

5. A Statistical Learning Approach to Ultra-Reliable Low Latency Communication

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