Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks
Author:
Funder
Academy of Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9473476/9473480/09473703.pdf?arnumber=9473703
Cited by 12 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. O-RAN-Oriented Approach for Dynamic VNF Placement Focused on Interference Mitigation;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Performance Improvement of Time-Sensitive Fronthaul Networks in 5G Cloud-RANs Using Reinforcement Learning-Based Scheduling Scheme;IEEE Access;2024
3. Photonic integrated circuits based optimization and enhancing data transmission for radio access networks using machine learning model;Optical and Quantum Electronics;2023-12-27
4. UE Centric DU Placement with Carrier Aggregation in O-RAN using Deep Q-Network Algorithm;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05
5. A Genetic Algorithm for Efficiently Solving the Virtualized Radio Access Network Placement Problem;ICC 2023 - IEEE International Conference on Communications;2023-05-28
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