Federated learning-empowered mobile network management for 5G and beyond networks: From access to core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

A survey on explainable ai for 6g o-ran: Architecture, use cases, challenges and research directions

B Brik, H Chergui, L Zanzi, F Devoti, A Ksentini… - arXiv preprint arXiv …, 2023 - arxiv.org
The recent O-RAN specifications promote the evolution of RAN architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …

Empowering the 6G cellular architecture with Open RAN

M Polese, M Dohler, F Dressler… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Innovation and standardization in 5G have brought advancements to every facet of the
cellular architecture. This ranges from the introduction of new frequency bands and …

On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration

F Rezazadeh, L Zanzi, F Devoti… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network slicing enables multiple virtual networks to be instantiated and customized to meet
heterogeneous use case requirements over 5G and beyond network deployments …

Resource allocation in an open RAN system using network slicing

MK Motalleb, V Shah-Mansouri… - … on Network and …, 2022 - ieeexplore.ieee.org
The next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more
flexibility and openness, including efficient service slicing, and to lower the operational costs …

Rlops: Development life-cycle of reinforcement learning aided open ran

P Li, J Thomas, X Wang, A Khalil, A Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the
most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) …

Deep reinforcement learning for robust vnf reconfigurations in o-ran

E Amiri, N Wang, M Shojafar… - … on Network and …, 2023 - ieeexplore.ieee.org
Open Radio Access Networks (O-RANs) have revolutionized the telecom ecosystem by
bringing intelligence into disaggregated RAN and implementing functionalities as Virtual …

[HTML][HTML] Misconfiguration in O-RAN: Analysis of the impact of AI/ML

NM Yungaicela-Naula, V Sharma, S Scott-Hayward - Computer Networks, 2024 - Elsevier
User demand on network communication infrastructure has never been greater with
applications such as extended reality, holographic telepresence, and wireless brain …

Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities

H Zhou, C Hu, Y Yuan, Y Cui, Y Jin, C Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

A Comparative Analysis of Deep Reinforcement Learning-based xApps in O-RAN

M Tsampazi, S D'Oro, M Polese… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The highly heterogeneous ecosystem of Next Generation (NextG) wireless communication
systems calls for novel networking paradigms where functionalities and operations can be …