An overview of the electromagnetic simulation-based channel modeling techniques for wireless body area network applications

M Särestöniemi, M Hämäläinen, J Iinatti - IEEE Access, 2017 - ieeexplore.ieee.org
Electromagnetic simulation-based channel modeling is presently considered as a promising
option for wireless body area network (WBAN) channel modeling. The benefits of simulation …

Specific absorption rate and temperature elevation in the human head due to overexposure to mobile phone radiation with different usage patterns

D Bhargava, N Leeprechanon, P Rattanadecho… - International Journal of …, 2019 - Elsevier
Accidental overexposure to non-standard mobile phone radiation can occur in many
situations. The overpower limit of mobile phone radiation interacts with the human body …

Geometrically stochastic FDTD method for uncertainty quantification of EM fields and SAR in biological tissues

K Masumnia-Bisheh, K Forooraghi… - … on Antennas and …, 2019 - ieeexplore.ieee.org
This paper presents a stochastic scheme called geometrically stochastic finite-difference
time domain (GS-FDTD) to insert the statistical variation of model geometry directly into the …

Cross-layer energy efficient resource allocation in PD-NOMA based H-CRANs: Implementation via GPU

A Mokdad, P Azmi, N Mokari, M Moltafet… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this paper, we propose a cross layer energy efficient resource allocation and remote radio
head (RRH) selection algorithm for heterogeneous traffic in power domain-non-orthogonal …

GPU-accelerated double-stage delay-multiply-and-sum algorithm for fast photoacoustic tomography using LED excitation and linear arrays

SR Miri Rostami, M Mozaffarzadeh… - Ultrasonic …, 2019 - journals.sagepub.com
Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for
photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than …

A Stochastic FDTD Algorithm for Uncertainty Quantification of Electromagnetic-Thermal Simulation

K Niu, Z Xiao, G Xie, X Ren, Y Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article introduces a computational approach that utilizes the stochastic finite-difference
time-domain (S-FDTD) method to solve problems involving both electromagnetic and …

Multilevel Monte Carlo FDTD method for uncertainty quantification

X Zhu, L Di Rienzo, X Ma… - IEEE Antennas and …, 2022 - ieeexplore.ieee.org
The recent multilevel Monte Carlo method is here proposed for uncertainty quantification in
electromagnetic problems solved by the finite-difference time-domain (FDTD) method, when …

An efficient 3-D stochastic HIE-FDTD algorithm for investigation of statistical variation in electromagnetic field

K Niu, Z Huang, X Ren, K Xu, M Li, X Wu… - … on Antennas and …, 2020 - ieeexplore.ieee.org
We propose a stochastic hybrid implicit–explicit finite-difference time-domain method (S-HIE-
FDTD) to compute the mean and variance of the electromagnetic (EM) fields using a single …

A Short Review of FDTD‐Based Methods for Uncertainty Quantification in Computational Electromagnetics

TT Zygiridis - Mathematical Problems in Engineering, 2017 - Wiley Online Library
We provide a review of selected computational methodologies that are based on the
deterministic finite‐difference time‐domain algorithm and are suitable for the investigation of …

Electromagnetic uncertainty analysis using stochastic FDFD method

K Masumnia-Bisheh, K Forooraghi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a novel stochastic finite-difference frequency-domain (S-FDFD) method
that incorporates the statistical variations of electrical properties directly into the FDFD …