ML-based Traffic Steering for Heterogeneous Ultra-dense beyond-5G Networks
Author:
Affiliation:
1. University of Thessaly,Dept. of Electrical and Computer Engineering,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118923.pdf?arnumber=10118923
Reference20 articles.
1. A Data-Driven Traffic Steering Algorithm for Optimizing User Experience in Multi-Tier LTE Networks
2. Network-Aided Intelligent Traffic Steering in 5G Mobile Networks
3. Cloud-Based Convergence of Heterogeneous RANs in 5G Disaggregated Architectures
4. An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks
5. UE Statistics Time-Series (CQI) in LTE Networks;chatzistefanidis,2022
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1. RAN Intelligent Controller (RIC): From open-source implementation to real-world validation;ICT Express;2024-06
2. Design of Computing-Aware Traffic Steering Architecture for 5G Mobile User Plane;IEEE Access;2024
3. Exploiting Multihoming Capabilities in 5G-Enabled IoT Nodes;IEEE Access;2023
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