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Recent Advances in Machine Learning for Network Automation in the O-RAN [PDF]
Sensors, 2023 The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution.
Mutasem Q. Hamdan +17 more
doaj +2 more sources
Energy-Aware Dynamic DU Selection and NF Relocation in O-RAN Using Actor–Critic Learning [PDF]
Sensors, 2022 Open radio access network (O-RAN) is one of the promising candidates for fulfilling flexible and cost-effective goals by considering openness and intelligence in its architecture. In the O-RAN architecture, a central unit (O-CU) and a distributed unit (O-
Shahram Mollahasani +3 more
doaj +2 more sources
Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN) [PDF]
Sensors, 2022 Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Radio Access Network (vRAN) and most recently with the Open RAN (O-RAN) initiative, Radio Access Network (RAN) architectures have significantly evolved in ...
Pedro Enrique Iturria-Rivera +4 more
doaj +2 more sources
5G-Enabled Distributed Intelligence Based on O-RAN for Distributed IoT Systems [PDF]
Sensors, 2022 Edge-based distributed intelligence techniques, such as federated learning (FL), have recently been used in many research fields thanks, in part, to their decentralized model training process and privacy-preserving features.
Ramin Firouzi, Rahim Rahmani
doaj +2 more sources
Multi-task meta-initialized DQN for fast adaptation to unseen slicing tasks in O-RAN. [PDF]
PLoS ONEThe open radio access network (O-RAN) architecture facilitates intelligent radio resource management via RAN intelligent controllers (RICs). Deep reinforcement learning (DRL) algorithms are integrated into RICs to address dynamic O-RAN slicing challenges.
Bosen Zeng, Xianhua Niu
doaj +2 more sources
ORANSight-2.0: Foundational LLMs for O-RAN
IEEE Transactions on Machine Learning in Communications and NetworkingDespite the transformative impact of Large Language Models (LLMs) across critical domains such as healthcare, customer service, and business marketing, their integration into Open Radio Access Networks (O-RAN) remains limited.
Pranshav Gajjar, Vijay K. Shah
doaj +3 more sources
Open RAN—Radio Access Network Evolution, Benefits and Market Trends
Applied Sciences, 2022 Open RAN (radio access network) movement is perceived as a game changer, having robust potential to introduce shifts in mobile radio access networks towards tailor-made solutions based on the architecture decomposition.
Dariusz Wypiór +2 more
doaj +1 more source
ns-O-RAN: Simulating O-RAN 5G Systems in ns-3
Proceedings of the 2023 Workshop on ns-3, 2023 10 pages, 6 figures, 1 table, 5 listings. Accepted at the 2023 Workshop on ns-3 (WNS3 2023), June 28-29, 2023, Arlington, VA, USA.
Andrea Lacava +6 more
openaire +3 more sources
Toward Greener 5G and Beyond Radio Access Networks—A Survey
IEEE Open Journal of the Communications Society, 2023 Mobile network traffic is increasing and so is the energy consumption. The Radio Access Network (RAN) part is responsible for the largest share of the mobile network energy consumption, and thus; an important consideration when expanding mobile networks ...
Line M. P. Larsen +3 more
doaj +1 more source
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023 Accepted in IEEE INFOCOM ...
Corrado Puligheddu +3 more
openaire +2 more sources