3 citations · 5 across the 11 of their papers we have counts for
13 papers · 1 filter
A Survey on Machine and Deep Learning for Optical Communications
M. A. Amirabadi, S. A. Nezamalhosseini, M. H. Kahaei +1
The ever-growing complexity of optical communication systems and networks demands sophisticated methodologies to extract meaningful insights from vast amounts of heterogeneous data…
Two-dimensional gridless super-resolution method for ISAR imaging
Mohammad Roueinfar, Mohammad Hossein Kahaei
We are focused on improving the resolution of images of moving targets in Inverse Synthetic Aperture Radar (ISAR) imaging. This could be achieved by recovering the scattering point…
ISAR imaging of space objects using encoded apertures
M. Roueinfar, M. H. Kahaei
A major threat to satellites is space debris with their low mass and high rotational speed. Accordingly, the short observation time of these objects is a major limitation in space…
Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model
Mohammad Ali Amirabadi, Mohammad Hossein Kahaei, S. Alireza Nezamalhosseini
Achieving reliable communication over different channels and modes is one of the main goals of Mode Division Multiplexing-Wavelength Division Multiplexing (MDM-WDM) communication n…
Deep Reinforcement Learning-based Anti-jamming Power Allocation in a Two-cell NOMA Network
Sina Yousefzadeh Marandy, Mohammad Ali Amirabadi, Mohammad Hossein Kahaei +1
The performance of Non-orthogonal Multiple Access (NOMA) system dramatically decreases in the presence of inter-cell interference. This condition gets more challenging if a smart j…
Deep learning for channel estimation in FSO communication system
M. A. Amirabadi
Perfect channel estimation is very hard, time/ power consuming, and expensive; so it is not preferred (e.g. in mobile) communication systems. This paper seeks for new, cheap, low c…