Results 41 to 50 of about 6,999 (254)

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

Heterogeneous Cloud Radio Access Networks：Principle，Architecture，Techniques and Challenges

Dianxin kexue, 2015
To mitigate the severe inter-tier interference and enhance limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in heterogeneous networks（HetNet），and solve the emerging problems including the
Mugen Peng, Yuan Ai
doaj   +2 more sources

A Survey on Applications of Deep Learning in Cloud Radio Access Network

IEEE Access, 2021
The necessity for high-speed and low-latency connectivity of the vast number of mobile users is rising with the immense usage of mobile applications. A cloud radio access network (C-RAN) is a promising framework for next-generation cellular communication,
Rehenuma Tasnim Rodoshi, Wooyeol Choi
doaj   +1 more source

Recent Trends in Cloud Radio Access Networks

IEEE Access
Massive surge in mobile data traffic, high power consumption, and limited spectrum availability are the major challenges of existing cellular networks. Industries and academia have conducted many studies and proposed solutions to meet the exploding user demand and minimize the network operators’ expenditures. The cloud radio access network (CRAN)
Iqra Farhat, Fahim Gohar Awan, Umar Rashid 0003, Haris Anwaar, Nadhira Khezami, Ilyes Boulkaibet, Bilel Neji, Frederic Nzanywayingoma   +7 more
openaire   +2 more sources

Interface Engineering via Sb2Te3 Deposition Enables High‐Performance SWCNT Film Thermoelectrics

Advanced Functional Materials, EarlyView.
SWCNTs are promising for flexible thermoelectrics but suffer from low performance. Here, cold‐pressed SWCNT films combined with deposited Sb2Te3 form engineered interfaces that enhance charge transport and energy filtering. The composite achieves a high power factor (25.82 µW cm−1 K−2) and delivers a power density of 3 mW cm−2 at ΔT = 40 K, with ...
Yuan‐Meng Liu, Xiao‐Lei Shi, Ziyu Wang, Muyang Huang, Meng Li, Xiaolong Sun, Yong Liu, Shanshan Zhou, Yi Zhao, Yineng Gou, Yue Hou, Zhi‐Gang Chen   +11 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

IEEE Access, 2019
The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications—such as ...
Mohammad Asif Habibi, Meysam Nasimi, Bin Han, Hans D. Schotten   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Cloud-RAN Architecture for Indoor DAS

IEEE Access, 2014
A cloud radio access network (Cloud-RAN) is a new cellular technology that brings baseband processing units for a set of base stations into a central server retaining only the radio front-ends at the cell sites.
Yihenew Dagne Beyene, Riku Jantti, Kalle Ruttik   +2 more
doaj   +1 more source

Network Slicing and Resource Allocation in Cloud Radio Access Networks

, 2023
Wireless networks based on 5G and beyond 5G technologies are required to support high data traffic demand and diverse service requirements, such as different delay or throughput requirements. Radio Access Network (RAN) slicing has been introduced to address these requirements by virtualizing and sharing the network resources among multiple service ...
openaire   +2 more sources