8 citations · 8 across the 4 of their papers we have counts for
4 papers
Base Station Deployment under EMF constrain by Deep Reinforcement learning
Mohammed Mallik, Guillaume Villemaud
As 5G networks rapidly expand and 6G technologies emerge, characterized by dense deployments, millimeter-wave communications, and dynamic beamforming, the need for scalable simulat…
Channel Estimation by Infinite Width Convolutional Networks
Mohammed Mallik, Guillaume Villemaud
In wireless communications, estimation of channels in OFDM systems spans frequency and time, which relies on sparse collections of pilot data, posing an ill-posed inverse problem.…
Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks
Mohammed Mallik, Laurent Clavier, Davy P. Gaillot
Understanding the spatial and temporal patterns of environmental exposure to radio-frequency electromagnetic fields (RF-EMF) is essential for conducting risk assessments. These ass…
GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks
Mohammed Mallik, Davy P. Gaillot, Laurent Clavier
In Spectrum cartography (SC), the generation of exposure maps for radio frequency electromagnetic fields (RF-EMF) spans dimensions of frequency, space, and time, which relies on a…