activity
20182023
most citedSurrogate modeling based on resampled polynomial chaos expansions

50 citations · 78 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2023★ 10 cited

Joint Metrics for EMF Exposure and Coverage in Real-World Homogeneous and Inhomogeneous Cellular Networks

Quentin Gontier, Charles Wiame, Shanshan Wang +6

This paper evaluates the downlink performance of cellular networks in terms of coverage and electromagnetic field exposure (EMFE), in the framework of stochastic geometry. The mode…

eess.SP2020★ 11 cited

Discrepancies of measured SAR between traditional and fast measuring systems

Zicheng Liu, Djamel Allal, Maurice Cox +1

Human exposure to mobile devices is traditionally measured by a system in which the human body (or head) is modelled by a phantom and the energy absorbed from the device is estimat…

stat.AP2019★ 7 cited

Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansion

Zicheng Liu, Dominique Lesselier, Bruno Sudret +1

Human exposure induced by wireless communication systems increasingly draws the public attention. Here, an indoor down-link scenario is concerned and the exposure level is statisti…

stat.OT2018

Surrogate Modeling of Stochastic Functions - Application to computational Electromagnetic Dosimetry

Soumaya Azzi, Yuanyuan Huang, Bruno Sudret +1

Metamodeling of complex numerical systems has recently attracted the interest of the mathematical programming community. Despite the progress in high performance computing, simulat…

eess.SP2018

Statistical model of the human RF exposure in Small cells environment

Amirreza Chobineh, Yuanyuan Huang, Taghrid Mazloum +2

Small cells are one of the solutions to face the imperative demand on increasing mobile data traffic. They are low-powered base stations installed close to the users to offer bette…

stat.CO2018★ 50 cited

Surrogate modeling based on resampled polynomial chaos expansions

Z. Liu, D. Lesselier, B. Sudret +1

In surrogate modeling, polynomial chaos expansion (PCE) is popularly utilized to represent the random model responses, which are computationally expensive and usually obtained by d…