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Found 6 papers, 2 papers with code
How to Extend 3D GBSM to Integrated Sensing and Communication Channel with Sharing Feature?
The proposed approach can be summarized as follows: Firstly, an ISAC channel model is proposed, where shared and non-shared components are superimposed for both communication and sensing.
Channel Measurement, Modeling, and Simulation for 6G: A Survey and Tutorial
Then, a survey of the progress of the 6G channel research regarding the above five promising technologies is presented in terms of the latest measurement campaigns, new characteristics, modeling methods, and research prospects.
A Shared Cluster-based Stochastic Channel Model for Joint Communication and Sensing Systems
Then, a stochastic JCAS channel model is proposed to capture the sharing feature, where shared and non-shared clusters by the two channels are defined and superimposed.
Interpretable Almost-Matching-Exactly With Instrumental Variables
Uncertainty in the estimation of the causal effect in observational studies is often due to unmeasured confounding, i. e., the presence of unobserved covariates linking treatments and outcomes.
Interpretable Almost Matching Exactly for Causal Inference
Notable advantages of our method over existing matching procedures are its high-quality matches, versatility in handling different data distributions that may have irrelevant variables, and ability to handle missing data by matching on as many available covariates as possible.
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
In this work, we propose a method that computes high quality almost-exact matches for high-dimensional categorical datasets.
