Results 21 to 30 of about 1,029 (242)

Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller

ICC 2023 - IEEE International Conference on Communications, 2023
We design and demonstrate a method for early detection of Denial-of-Service attacks. The proposed approach takes advantage of the OpenRAN framework to collect measurements from the air interface (for attack detection) and to dynamically control the operation of the Radio Access Network (RAN).
Bruno Missi Xavier, Merim Dzaferagic, Diarmuid Collins, Giovanni Comarela, Magnos Martinello, Marco Ruffini   +5 more
openaire   +4 more sources

Experimental Evaluation of Multi-Vendor 5G Open RANs: Promises, Challenges, and Lessons Learned

IEEE Access
Open Radio Access Network (Open RAN) is a new paradigm shift envisaged for the future RAN, which is composed of disaggregated and virtualised RAN functions that are interconnected via open interfaces, and can be configured to optimise network performance
Farhad Mehran, Charles Turyagyenda, Dritan Kaleshi   +2 more
doaj   +1 more source

Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment

IEEE Open Journal of the Communications Society
5G and beyond networks are considered a catalyst for emerging IoT applications and services by providing ultra-reliable connectivity and massive connections to billions of IoT sensors and devices.
Shu-Ping Yeh, Sonia Bhattacharya, Rashika Sharma, Hassnaa Moustafa   +3 more
doaj   +1 more source

LLM-hRIC: LLM-Empowered Hierarchical RAN Intelligent Control for O-RAN

IEEE Communications Magazine
Despite recent advances in applying large language models (LLMs) and machine learning (ML) techniques to open radio access network (O-RAN), critical challenges remain, such as insufficient cooperation between radio access network (RAN) intelligent controllers (RICs), high computational demands hindering real-time decisions, and the lack of domain ...
Bao, Lingyan, Sinwoong, Yun, Lee, Jemin, Quek, Tony Q.S.   +3 more
openaire   +3 more sources

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning

2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2023
rApps and xApps need to be controlled and orchestrated well in the open radio access network (O-RAN) so that they can deliver a guaranteed network performance in a complex multi-vendor environment. This paper proposes a novel intent-driven intelligent control and orchestration scheme based on hierarchical reinforcement learning (HRL).
Md Arafat Habib, Hao Zhou 0013, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci   +7 more
openaire   +2 more sources

A New Method to Improve Frequent-Handover Problem in High-Mobility Communications Using RIC and Machine Learning

IEEE Access, 2023
The current trend of newer cellular network technology, such as 5G, is using a higher frequency spectrum that causes a smaller cell size. This will further cause a more frequent handover in the high-mobility users like the ones that happen in the high ...
Baud Haryo Prananto, Iskandar, Adit Kurniawan   +2 more
doaj   +1 more source

Reinforcement Learning-Based Handover Algorithm for 5G/6G AI-RAN

Inventions
The increasing number of Base Stations (BSs) and connected devices, coupled with their mobility, poses significant challenges and makes mobility management even more pressing.
Ildar A. Safiullin, Ivan P. Ashaev, Alexey A. Korobkov, Artur K. Gaysin, Adel F. Nadeev   +4 more
doaj   +1 more source

Feedback Control for QoS-Aware Radio Resource Allocation in Adaptive RAN

IEEE Access, 2022
In order to meet the quality requirements of various communication services in the advanced 5G era around 2025, the authors have proposed an Adaptive radio access network (RAN) that changes the placement of virtualized base station functions according to
Haruhisa Hirayama, Yu Tsukamoto, Hiroyuki Shinbo   +2 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks

IEEE Open Journal of the Communications Society
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.
Syed Danial Ali Shah, Maryam Hafeez, Abdelaziz Salama, Syed Ali Raza Zaidi   +3 more
doaj   +1 more source