Data-Driven Proactive Uplink Slicing Enabling Real-Time Control within an Open RAN Testbed
Author:
Affiliation:
1. Communication Networks Institute (CNI)
2. Institute of Energy Systems, Energy Efficiency and Energy Economics (IE3) TU Dortmund University,Dortmund,Germany,44227
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620874.pdf?arnumber=10620874
Reference15 articles.
1. Towards Open 6G: Experimental O-RAN Framework for Predictive Uplink Slicing
2. Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey
3. Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities
4. How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?
5. Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
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