Results 81 to 90 of about 35,533,713 (263)

Traffic-Estimation-Based Low-Latency XGS-PON Mobile Front-Haul for Small-Cell C-RAN Based on an Adaptive Learning Neural Network

open access: yesApplied Sciences, 2018
In this paper, we propose a novel method for low-latency 10-Gigabit-capable symmetric passive optical network (XGS-PON) mobile front-haul for small cell cloud radio access network (C-RAN) based on traffic estimation. In this method, the number of packets
Ahmed Mohammed Mikaeil   +3 more
doaj   +1 more source

Scalable Algorithms for Cloud Radio Access Network (C-RAN) Optimization [PDF]

open access: yes, 2021
In the evolving scenario of 5G networks, resource allocation algorithms for the Cloud Radio Access Network (C-RAN) model have proven to be the key for managing ever increasing Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) for mobile ...
Di Cicco, Nicola
core  

PDHA1 Hyperactivation‐Mediated Glucose Metabolism Reprogramming Fuels Neutrophil NETosis and Promotes Acute Lung Injury

open access: yesAdvanced Science, EarlyView.
During NETosis, neutrophils shift metabolically toward enhanced OXPHOS and partially reduced glycolysis. This shift is driven by PDHA1 hyperactivity‐dependent selective metabolic reprogramming. The neutrophil‐targeted nanoparticle 3‑FP‑BSA NPs effectively inhibit NETosis and attenuate ALI.
Yu‐Biao Liu   +14 more
wiley   +1 more source

Trusted Cooperation Among Virtual Base Stations in C-RAN

open access: yesIEEE Access, 2018
Cloud radio access network (C-RAN) has become one of the hot-spot research directions in both industry and academia to facilitate 5G development. Its architecture is mainly divided into three parts: 1) Virtual base station (VBS) pool including a number ...
Fengyu Tian   +3 more
doaj   +1 more source

Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN

open access: yesSensors, 2020
Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve
Peng Yang   +5 more
doaj   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

open access: yesAdvanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang   +9 more
wiley   +1 more source

Determining the Relationship Between Composition, Structure, and Device Properties of GexSe1‐x‐Based Selector‐Only Memory

open access: yesAdvanced Electronic Materials, EarlyView.
Composition‐dependent structural evolution in GeXSe1‐X selector‐only memory (SOM) is correlated with device switching behavior. Increasing Ge strengthens network rigidity, suppresses atomic motion, and stabilizes threshold switching, while narrowing the memory window. The revealed structure–property relationship provides a guideline for compositionally
Tien Anh Nguyen   +9 more
wiley   +1 more source

Low-latency C-RAN: A next-generation wireless approach

open access: yes, 2018
The cloud radio access network (C-RAN) constitutes a promising architecture for next-generation systems. Beneficial centralized signal processing techniques can be realized under the C-RAN framework.
Hong Ren   +13 more
core   +1 more source

Massive MIMO Pilot Scheduling over Cloud RAN [PDF]

open access: yes, 2020
Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing. On the other hand, this requires extremely low latency fronthaul links to achieve
Fitzgerald, Emma   +3 more
core  

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

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