Results 71 to 80 of about 271,914 (282)

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

Optimizing Resource Allocation and VNF Embedding in RAN Slicing

, 2022
5G radio access network (RAN) with network slicing methodology plays a key role in the development of the next-generation network system. RAN slicing focuses on splitting the substrate's resources into a set of self-contained programmable RAN slices ...
Nguyen, Tu N., Thai, My T., Ambarani, Kashyab J.   +2 more
core  

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Side Channel Attack-Aware Resource Allocation for URLLC and eMBB Slices in 5G RAN

IEEE Access, 2020
Network slicing is a key enabling technology to realize the provisioning of customized services in 5G paradigm. Due to logical isolation instead of physical isolation, network slicing is facing a series of security issues.
Yajie Li, Yongli Zhao, Jun Li, Jiawei Zhang, Xiaosong Yu, Jie Zhang   +5 more
doaj   +1 more source

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

AI-RAN resource configuration for non-collaborative cross-domain slicing

Journal of Information and Intelligence
In the evolution from 5G to 6G, network slicing faces challenges due to the coexistence of multiple operators and service providers, where privacy constraints on configuration data and parameters restrict end-to-end slice deployment.
Ruihan Wen, Gang Feng, Chengjie Li, Haokang Lou, Qiping Xu, Tao Liu, Zihan Chen   +6 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

End-to-End Network Slicing in Radio Access Network, Transport Network and Core Network Domains

IEEE Access, 2020
Network slicing (NS) has been well discussed in the transport network (TN) and core network (CN) domains. This paper extends it to the radio access network (RAN) domain, and the NS in RAN, TN and CN domains is defined as end-to-end (E2E) NS system.
Xu Li, Rui Ni, Jun Chen, Yibo Lyu, Zhichao Rong, Rui Du   +5 more
doaj   +1 more source

Optimizing Dynamic RAN Slicing in Programmable 5G Networks [PDF]

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
Network slicing is envisioned as a tool for 5G networks to provide network flexibility and isolation among different logical networks. While network slicing is well investigated in the fixed-network side, in the Radio Access Network (RAN) there remain challenging problems, which originate mainly from the stochastic nature of the wireless channels and ...
Arled Papa, Markus Klugel, Leonardo Goratti, Tinku Rasheed, Wolfgang Kellerer   +4 more
openaire   +1 more source