Towards addressing training data scarcity challenge in emerging radio access networks: A survey and framework
The future of cellular networks is contingent on artificial intelligence (AI) based automation,
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
AI-enabled future wireless networks: Challenges, opportunities, and open issues
M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …
in the way future wireless network resources are managed. Indeed, when application …
RIC: A RAN intelligent controller platform for AI-enabled cellular networks
B Balasubramanian, ES Daniels… - IEEE Internet …, 2021 - ieeexplore.ieee.org
With the emergence of 5G, network densification, and richer and more demanding
applications, the radio access network (RAN)—a key component of the cellular network …
applications, the radio access network (RAN)—a key component of the cellular network …
Supporting intelligence in disaggregated open radio access networks: Architectural principles, AI/ML workflow, and use cases
A Giannopoulos, S Spantideas, N Kapsalis… - IEEE …, 2022 - ieeexplore.ieee.org
Driven by the emerging trend for transparent, open and programmable communications,
Open Radio Access Network (O-RAN) constitutes the dominant architectural approach for …
Open Radio Access Network (O-RAN) constitutes the dominant architectural approach for …
Orchestran: Network automation through orchestrated intelligence in the open ran
The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …
disaggregated architectures exposing analytics and control knobs to enable network …
Intelligent O-RAN for beyond 5G and 6G wireless networks
Building on the principles of openness and intelligence, there has been a concerted global
effort from the operators towards enhancing the radio access network (RAN) architecture …
effort from the operators towards enhancing the radio access network (RAN) architecture …
When machine learning meets wireless cellular networks: Deployment, challenges, and applications
U Challita, H Ryden, H Tullberg - IEEE Communications …, 2020 - ieeexplore.ieee.org
AI powered wireless networks promise to revolutionize the conventional operation and
structure of current networks from network design to infrastructure management, cost …
structure of current networks from network design to infrastructure management, cost …
An overview of data-importance aware radio resource management for edge machine learning
The 5G network connecting billions of Internet of things (IoT) devices will make it possible to
harvest an enormous amount of real-time mobile data. Furthermore, the 5G virtualization …
harvest an enormous amount of real-time mobile data. Furthermore, the 5G virtualization …
AI empowered resource management for future wireless networks
Resource management plays a pivotal role in wireless networks, which, unfortunately, leads
to challenging NP-hard problems. Artificial Intelligence (AI), especially deep learning …
to challenging NP-hard problems. Artificial Intelligence (AI), especially deep learning …
OpenRAN gym: An open toolbox for data collection and experimentation with AI in O-RAN
Open Radio Access Network (RAN) architectures will enable interoperability, openness, and
programmatic data-driven control in next generation cellular networks. However, developing …
programmatic data-driven control in next generation cellular networks. However, developing …