Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
Author:
Affiliation:
1. Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA
2. Mavenir, Richardson, TX, USA
3. Northeastern University, USA
4. Sapienza, University of Rome, Itlay
Funder
Mavenir
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
http://xplorestaging.ieee.org/ielx7/7755/4358975/10102369.pdf?arnumber=10102369
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1. On the impact of Open RAN Fronthaul Control in scenarios with XR Traffic;Computer Networks;2024-11
2. Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL;IEEE Transactions on Green Communications and Networking;2024-09
3. ORAN-B5G: A Next-Generation Open Radio Access Network Architecture With Machine Learning for Beyond 5G in Industrial 5.0;IEEE Transactions on Green Communications and Networking;2024-09
4. Addressing Control Challenges in Vehicular Networks Through O-RAN: A Novel Architecture and Simulation Framework;IEEE Transactions on Vehicular Technology;2024-07
5. Policy-Based Traffic Steering and Load Balancing in O-RAN-Based Vehicle-to-Network Communications;IEEE Transactions on Vehicular Technology;2024-07
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