activity
20232025
most citedNear-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2025

Vessel Length Estimation from Magnetic Wake Signature: A Physics-Informed Residual Neural Network Approach

Mohammad Amir Fallah, Mehdi Monemi, Matti Latva-aho

Marine remote sensing enhances maritime surveillance, environmental monitoring, and naval operations. Vessel length estimation, a key component of this technology, supports effecti…

eess.SY2024

Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks

Mehdi Monemi, Mehdi Rasti, Arthur S. de Sena +3

Reconfigurable intelligent surfaces (RISs) have been introduced as arrays of nearly passive elements with software-tunable electromagnetic properties to dynamically manipulate the…

eess.SP2024★ 1 cited

Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach

Mohammad Amir Fallah, Mehdi Monemi, Mehdi Rasti +1

Three-dimensional (3D) spot beamfocusing (SBF), in contrast to conventional angular-domain beamforming, concentrates radiating power within a very small volume in both radial and a…

cs.IT2024★ 1 cited

Towards Near-Field 3D Spot Beamfocusing: Possibilities, Challenges, and Use-cases

Mehdi Monemi, Mohammad Amir Fallah, Mehdi Rasti +2

Spot beamfocusing (SBF) is the process of focusing the signal power in a small spot-like region in the 3D space, which can be either hard-tuned (HT) using traditional tools like le…

eess.SY2023

6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach

Mehdi Monemi, Mohammad Amir Fallah, Mehdi Rasti +1

In this paper, we introduce the concept of spot beamfocusing (SBF) in the Fresnel zone through extremely large-scale programmable metasurfaces (ELPMs) as a key enabling technology…