Results 61 to 70 of about 7,719 (288)
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 +11 more
wiley +1 more source
Security challenges for cloud radio access networks [PDF]
, 2016 Cloud radio access networks (C‐RAN) are a promising technology that will allow the new generation of 5G mobile communication systems to address the industry's capacity growth needs and demands for higher mobility.
Rodriguez, Jonathan +5 more
core +1 more source
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 +19 more
wiley +1 more source
Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks [PDF]
, 2018 5G is the upcoming evolution for the current cellular networks that aims at satisfying the future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) are envisioned as a new trend of 5G that exploits the advantages of ...
Alqerm, Ismail, Shihada, Basem
core +1 more source
Applied Sciences, 2019 Cloud radio access networks (C-RANs) are emerging architectural solutions to anticipate the increased capacity and quality demands of future 5G cellular networks at a reduced cost. In C-RANs, a transport segment referred to as fronthaul has been defined,
Muhammad Waqar, Ajung Kim
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 +3 more
wiley +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
Advanced Materials, EarlyView.The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Joint Cache Allocation With Incentive and User Association in Cloud Radio Access Networks Using Hierarchical Game [PDF]
, 2019 In this paper, we consider a cloud radio access network-based system consisting of one network operator (NO) and several content providers (CPs). The NO owns a cloud cache and provides caching as a service for CPs, who provide contents to users.
Le, Tra Huong Thi +11 more
core +1 more source
Fog radio access network system control scheme based on the embedded game model
EURASIP Journal on Wireless Communications and Networking, 2017 As a promising paradigm for the 5G wireless communication system, a new evolution of the cloud radio access networks has been proposed, named as fog radio access networks (F-RANs).
Sungwook Kim
doaj +1 more source