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20182024
most citedDeep learning for channel estimation in FSO communication system

85 citations · 227 across the 16 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

eess.SP2019★ 1 cited

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…

eess.SP2019★ 85 cited

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…

eess.SP2019★ 7 cited

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…

eess.SP2019

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…

eess.SP2019★ 22 cited

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…

eess.SP2019★ 3 cited

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…

eess.SP2019

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…

eess.SP2019★ 5 cited

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…