Results 101 to 110 of about 7,719 (288)

Resource and interference management in cloud radio access networks [PDF]

, 2021
Als Folge der Beschränktheit des Funkspektrums sowie des kontinuierlich steigenden Bedarfs an höheren Datenraten und zuverlässigen drahtlosen Anwendungen, wurden Cloud Radio Access Networks (C-RANs) entwickelt, um eine praktische Netzwerkarchitektur ...
Alameer Ahmad, Alaa (Dr.-Ing.)
core  

Use of wireless technologies in IoT projects

Journal of Edge Computing
When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput ...
Tetiana A. Vakaliuk, Oleksandr V. Andreiev, Oleksandr F. Dubyna, Oksana L. Korenivska, Yevheniya O. Andreieva   +4 more
doaj   +1 more source

Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks

Journal of Internet Services and Applications, 2017
The fifth generation (5G) cellular infrastructure is envisaged as a dense and heterogeneous deployment of small cells overlapping with existing macrocells in the Radio Access Network (RAN).
Marcelo A. Marotta, Maicon Kist, Juliano A. Wickboldt, Lisandro Z. Granville, Juergen Rochol, Cristiano B. Both   +5 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Throughput Maximization in Cloud Radio Access Networks Using Network Coding [PDF]

, 2018
This paper is interested in maximizing the total throughput of cloud radio access networks (CRANs) in which multiple radio remote heads (RRHs) are connected to a central computing unit known as the cloud.
Sorour, Sameh, Mohammed S. Al-Abiad, M. D. Jahangir Hossain, Hossain, Jahangir, Al-Abiad, Mohammed S., Douik, Ahmed, Sameh Sorour, Ahmed Douik   +7 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks [PDF]

, 2016
The heterogeneous cloud radio access network (H-CRAN) is a promising paradigm that incorporates cloud computing into heterogeneous networks (HetNets), thereby taking full advantage of cloud radio access networks (C-RANs) and HetNets.
Xiang, Hongyu, Peng, Mugen, Yu, Yuling, Poor, H Vincent   +3 more
core   +1 more source

Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks

IEEE Access
The fifth generation (5G) mobile network is designed to facilitate high data rates with massive connectivity with the benefit of small cell technology.
Rehenuma Tasnim Rodoshi, Rezoan Ahmed Nazib, Chanjun Chun, Wooyeol Choi   +3 more
doaj   +1 more source

Efficient Joint User Association and Resource Allocation for Cloud Radio Access Networks

IEEE Access, 2017
Coordinated scheduling is an efficient resource allocation technique employed to improve the throughput, utilization, and energy efficiency of radio networks.
Muhammad Awais, Ashfaq Ahmed, Muhammad Naeem, Muhammad Iqbal, Waleed Ejaz, Alagan Anpalagan, Hyung Seok Kim   +6 more
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source