85 citations · 227 across the 16 of their papers we have counts for
19 papers
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…
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…
Three novel efficient Deep Learning-based approaches for compensating atmospheric turbulence in FSO communication system
M. A. Amirabadi
One of the main problems encountered with Free Space Optical (FSO) Communication system is the atmospheric turbulence. Although many solutions exist for combating this effect, they…
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…
A deep learning based solution for imperfect CSI problem in correlated FSO communication channel
M. A. Amirabadi
Imperfect channel state information (CSI) at the receiver, which is due to channel estimation error, is one of the main problems toward achieving optimum detection. This paper pres…
On the performance of some new Multiuser FSO-MIMO Communication Systems
M. A. Amirabadi
The practical implementation of maximum likelihood detection is limited by its high complexity as well as requiring perfect channel state information. Although conventional blind d…
A Survey on Machine Learning for Optical Communication [Machine Learning View]
M. A. Amirabadi
Machine Learning (ML) for Optical Communication (OC) is certainly a hot topic emerged recently and will continue to raise interest at least for the next few years. The rate of rese…
Novel Suboptimal approaches for Hyperparameter Tuning of Deep Neural Network [under the shelf of Optical Communication]
M. A. Amirabadi
Hyperparameter tuning is the main challenge of machine learning (ML) algorithms. Grid search is a popular method in hyperparameter tuning of simple ML algorithms; however, high com…
A new fast approach for an EEG-based Motor Imagery BCI classification
Mohammad Ali Amirabadi
Nowadays, Brain Computer Interface has an important role in the life quality of parallelized people. However, this technique is mainly affected by the quality of the recorded signa…
An optimization problem on the performance of FSO communication system
Mohammad Ali Amirabadi
Performance of Free Space Optical (FSO) communication system is affected by atmospheric turbulences and pointing errors. These effects can easily be mitigated by adapting natural s…
On the Performance of a Relay-Assisted Multi-Hop Asymmetric FSO/RF Communication System over Negative Exponential atmospheric turbulence with the effect of pointing error
Mohammad Ali Amirabadi
In this paper, a multi-user multi-hop hybrid FSO / RF system is presented. This structure is consisted of two main parts. The main motivation of presenting this structure is commun…
New expressions on the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system with receive diversity
Mohammad Ali Amirabadi
In this paper a novel multi-hop relay-assisted hybrid Free Space Optical / Radio Frequency (FSO / RF) communication system is presented, in which a mobile user is connected to the…
Performance evaluation of a novel relay assisted hybrid FSO / RF communication system with receive diversity
Mohammad Ali Amirabadi
One of the main problems in mobile communication systems is the degradation of Radio Frequency (RF) connection when mobile user is far from base station. One way to solve this prob…
New expression on the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system
Mohammad Ali Amirabadi
In this paper a novel multi-hop relay-assisted hybrid FSO / RF system is presented. It is assumed that direct RF connection between mobile users and source Base Station is impossib…
Performance of a Relay-Assisted Hybrid FSO/RF Communication System
Mohammad Ali Amirabadi
This paper investigates performance of a relay assisted hybrid Free Space Optical / Radio Frequency (FSO/RF) communication system. The proposed structure is particularly recommende…
A new optimization problem in FSO communication system
Mohammad Ali Amirabadi, Vahid Tabataba Vakili
According to the physical phenomena of atmospheric channels and wave propagation, performance of wireless communication systems can be optimized by simply adjusting its parameters.…
A novel hybrid FSO / RF communication system with receive diversity
Mohammad Ali Amirabadi
In mobile communication system, due to the limitations of mobile device such as low power supply as well as small size, most of the processing should be done at the Base Station. U…
Performance Comparison of two novel Relay-Assisted Hybrid FSO / RF Communication Systems
Mohammad Ali Amirabadi
In this manuscript, two novel multi-hop relay-assisted hybrid Free Space Optical / Radio Frequency (FSO / RF) communication systems are presented and compared. In these structures,…