Results 41 to 50 of about 35,533,713 (263)

Distributed Learning Assisted Fronthaul Compression for Multi-Antenna C-RAN

open access: yesIEEE Access, 2021
This paper investigates the uplink reception in the cloud radio access network (C-RAN), sometimes called centralized-RAN. C-RAN is an architecture for cellular networks which consists of many remote radio units (RRUs) connected to a central processor (CP)
Aymen Askri   +2 more
doaj   +1 more source

F-IRAN: Performance Analysis of 6G Fog Intelligent Radio Access Network

open access: yesIEEE Open Journal of the Communications Society
The next generation of wireless systems–Sixth Generation (6G) and beyond–is expected to support ultra-massive connectivity through a dense composition of small- and micro-scale networks with high traffic loads.
Eman A. Anowr   +5 more
doaj   +1 more source

C-RAN Traffic Aggregation on Latency-Controlled Ethernet Links

open access: yesApplied Sciences, 2018
Centralized/Cloud Radio Access Networks (C-RAN) are deployed in converged fixed-mobile networks to exploit the flexibility coming from joint application of Network Function Virtualization (NFV) and Software Defined Networking (SDN).
Federico Tonini   +4 more
doaj   +1 more source

Reliability Analysis of Centralized Radio Access Networks in Non-Line-of-Sight and Line-of-Sight Scenarios

open access: yesIEEE Access, 2019
The fifth generation (5G) wireless network technology is set to be standardized by 2020, where the main goals are to improve capacity, reliability, and energy efficiency while reducing latency and massively increasing connection density.
Daniel Peethala   +2 more
doaj   +1 more source

Joint Optimization of Latency and Deployment Cost Over TDM-PON Based MEC-Enabled Cloud Radio Access Networks

open access: yesIEEE Access, 2020
The convergence of optical and wireless networks, and the marginalization of centralized data centers are required for next-generation telecommunications.
Xin Wang   +4 more
doaj   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi   +11 more
wiley   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

open access: yesAdvanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim   +4 more
wiley   +1 more source

System Architecture and Technology Evolutions in Cloud Radio Access Networks

open access: yesDianxin kexue, 2014
Cloud radio access network(C-RAN)has been proposed as one of the most promising solutions to meet the service requirements of the fifth generation(5G)wireless communication systems.
Shi Yan, Wenbo Wang
doaj   +2 more sources

Biomass DNA: An Emerging Building Block for Advanced Materials

open access: yesAdvanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

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