Recent Advances in Machine Learning for Network Automation in the O-RAN. [PDF]
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.
Hamdan MQ +17 more
europepmc +2 more sources
Energy-Aware Dynamic DU Selection and NF Relocation in O-RAN Using Actor-Critic Learning. [PDF]
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-
Mollahasani S +3 more
europepmc +2 more sources
Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN). [PDF]
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 ...
Iturria-Rivera PE +4 more
europepmc +2 more sources
Attacking O-RAN Interfaces: Threat Modeling, Analysis and Practical Experimentation
A new generation of open and disaggregated Radio Access Networks (RANs) enabling multi-vendor, flexible, and cost-effective deployments is being promoted by the Open Radio Access Network (O-RAN) Alliance.
Xavier Costa-Perez +6 more
core +2 more sources
ORANSight-2.0: Foundational LLMs for O-RAN
Despite 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. This gap is primarily due to the absence of domain-specific foundational models, with existing solutions often relying on ...
Pranshav Gajjar, Vijay K. Shah
openaire +4 more sources
5G-Enabled Distributed Intelligence Based on O-RAN for Distributed IoT Systems. [PDF]
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.
Firouzi R, Rahmani R.
europepmc +2 more sources
Toward Greener 5G and Beyond Radio Access Networks—A Survey
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
Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks
The vision of AI-RAN convergence, as advocated by the AI-RAN Alliance, aims to unlock a unified 6G platform capable of seamlessly supporting AI and RAN workloads over shared infrastructure.
Shah, S.D.A. +3 more
core +2 more sources
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN architecture featuring open, software-driven, virtual, and intelligent radio access architecture. O-RAN architecture is based on (1) disaggregated RAN functions that run
Bouziane Brik +2 more
doaj +1 more source
Improving patients with chronic lower limb arterial ischaemia
Atherosclerosis of the lower limb arteries is the cause of ischemia in their area. Improper supply of nutrients to the leg muscles by blood results in pain, in particular those that intensify during exercise, when the nutritional need increases in the ...
Anna Karpińska, Ewa Karpińska
doaj +3 more sources

