5 papers
Sidelink Positioning: Standardization Advancements, Challenges and Opportunities
Yuan Gao, Guangjin Pan, Zhiyong Zhong +4
With the integration of cellular networks in vertical industries that demand precise location information, such as vehicle-to-everything (V2X), public safety, and Industrial Intern…
Group Equivariant Convolutional Networks for Pathloss Estimation
Ziyue Yang, Feng Liu, Yifei Jin +1
This paper presents RadioGUNet, a UNet-based deep learning framework for pathloss estimation in wireless communication. Unlike other frameworks, it leverages group equivariant conv…
Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate
Yifei Jin, Dimitrios Koutlis, Hector Bandala +1
Accurate estimation of voltage drop (IR drop) in modern Application-Specific Integrated Circuits (ASICs) is highly time and resource demanding, due to the growing complexity and th…
SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate
Yifei Jin, Ali Maatouk, Sarunas Girdzijauskas +3
Wireless ray-tracing (RT) is emerging as a key tool for three-dimensional (3D) wireless channel modeling, driven by advances in graphical rendering. Current approaches struggle to…
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors
Filip Cornell, Yifei Jin, Jussi Karlgren +1
The standard evaluation protocol for measuring the quality of Knowledge Graph Completion methods - the task of inferring new links to be added to a graph - typically involves a ste…