RRH Clustering Using Affinity Propagation Algorithm with Adaptive Thresholding and Greedy Merging in Cloud Radio Access Network. [PDF]
Park S, Jo HS, Mun C, Yook JG.
europepmc +1 more source
Contribution to the design and the implementation of a Cloud Radio Access Network
Cloud ...
Verónica Quintuna Rodriguez +1 more
openaire +2 more sources
Antenna Port Selection in a Coordinated Cloud Radio Access Network
We investigate the optimization of antenna port selection in the downlink of a cloud radio access network in which a user terminal can be served by multiple ports.
BULU, GÜRHAN +4 more
core +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
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 +3 more
wiley +1 more source
Interference Mitigation in mmWave Heterogeneous Cloud-Radio Access Network: for Better Performance and User Connectivity [PDF]
The rapid advancements in wireless communications have prompted a surge in mobile data traffic, necessitating innovative solutions for 5G and beyond.
Sabir, F, Swadi, N, Al-Raweshidy, H
core +1 more source
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Potentials and Challenges of C-RAN Supporting Multi-RATs Toward 5G Mobile Networks
This paper presents an overview of the cloud radio access network (C-RAN), which is a key enabler for future mobile networks in order to meet the explosive capacity demand of mobile traffic, and reduce the capital and operating expenditure burden faced ...
Rui Wang, Honglin Hu, Xiumei Yang
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
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 +5 more
wiley +1 more source
Computing Resources and Their Load Allocation in Virtualized Cloud-Radio Access Network [PDF]
Virtualization resource computing and load allocation in a Cloud-Radio Access Network (C-RAN) is studied. First, based on the C-RAN architecture, a system model is proposed as a virtualization evolution to incorporate all factors influencing computing ...
REN Xiaolong, FANG Jinyun
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

