محمدعلی امیرآبادی

مشاهده مقاله

Intelligent learning for FSO-NOMA networks: A comparative study of distributed and cooperative Q-learning

Mohammad Ali Amirabadi

Optics and Laser Technology

مجلات خارجی 2025 December Volume (192) Pages (113799-113799)

مشاهده مقاله

End-to-End deep learning for power amplifier nonlinearity mitigation in communication systems

F. Ahmadian ، S.A. Nezamalhossein ، Mohammad Ali Amirabadi

Physical Communication

مجلات خارجی 2025 October Volume (73) Pages (102887-102900)

مشاهده مقاله

Deep Learning‐Driven Semantic Communication With Attention Modules

Zahra Mohammadi ، Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei

IET Communications

مجلات خارجی 2025 October Volume (19) No (1)

مشاهده مقاله

Deep multi‐agent RL for anti‐jamming and inter‐cell interference mitigation in NOMA networks

Sina Yousefzadeh Marandi ، Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Mohammad Razavizadeh

IET Communications

مجلات خارجی 2025 February Volume (19) No (1)

مشاهده مقاله

Reinforcement Learning-based FSO Power Adaptation by Deep Computer Vision-based Weather Classification

Mohammad Ali Amirabadi

IEEE Transactions on Communication

مجلات خارجی 2025 January

مشاهده مقاله

A Comprehensive Survey on Machine and Deep Learning for Optical Communications

Mohammad Ali Amirabadi ، S. A. NEZAMALHOSSEINI ، M. H. KAHAEI ، LAWRENCE R. CHEN

IEEE Access

مجلات خارجی 2025 January Volume (13) Pages (88794-88846)

مشاهده مقاله

Joint Mode Selection and Power Allocation for Orbital Angular Momentum-Multiplexed FSO Systems

Alireza Ahmadihesar ، Alireza Nezamalhosseini ، Mohammad Ali Amirabadi ، Murat Uysal

IEEE Transactions on Communication

مجلات خارجی 2025 January

مشاهده مقاله

Sum rate optimization in STAR-RIS assisted multiuser massive MIMO-OFDM VLC systems

Mohammad Ali Amirabadi ، S.A. Nezamalhosseini

Physical Communication

مجلات خارجی 2024 December Volume (67) No (102524) Pages (102524-102524)

مشاهده مقاله

Deep learning‐based location prediction in VANET

Nafiseh RezaZadeh ، Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei

IET Intelligent Transport Systems

مجلات خارجی 2024 September Volume (18) No (9) Pages (1574-1587)

مشاهده مقاله

Deep Learning-Based Classification for QoT Estimation in SMF and FMF Links

Mohammad Ali Amirabadi ، S. A. Nezamalhosseini ، Mohammad. Hossein. Kahaei ، A. Carena

Journal of Lightwave Technology

مجلات خارجی 2024 January Volume (43) No (1) Pages (120-136)

مشاهده مقاله

Deep learning and deep transfer learning-based OPM for FMF systems

Mohammad Ali Amirabadi ، MohammadHossein Kahaei ، S.A. Nezamalhosseini

Physical Communication

مجلات خارجی 2023 October Volume (60) No (102157) Pages (102157-102157)

مشاهده مقاله

Active learning for OPM in FMF systems

Mohammad Ali Amirabadi ، MohammadHossein Kahaie ، S.A. Nezamalhosseini

Physical Communication

مجلات خارجی 2023 June Volume (58) No (102042) Pages (102042-v)

مشاهده مقاله

Deep Neural Network-Based QoT Estimation for SMF and FMF Links

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Alireza Nezamalhosseini ، Farhad Arpanaei ، Andrea Carena

Journal of Lightwave Technology

مجلات خارجی 2023 March Volume (41) No (6) Pages (1684-1695)

مشاهده مقاله

Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model

Mohammad Ali Amirabadi ، S.A. Nezamalhosseini ، M.H. Kahaei ، Lawrence R. Chen

Optical Fiber Technology

مجلات خارجی 2023 January Volume (75) No (103187) Pages (103187-103187)

مشاهده مقاله

A New Fast Approach for an EEG-based Motor Imagery BCI Classification

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaiee

IETE Journal of Research

مجلات خارجی 2023 January Volume (69) No (1) Pages (232-241)

مشاهده مقاله

End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Alireza Nezamalhosseini

Physical Communication

مجلات خارجی 2022 December Volume (55) No (101903) Pages (101903-101903)

مشاهده مقاله

Meta-ensemble learning for OPM in FMF systems

Mohammad Ali Amirabadi ، S. A. Nezamalhosseini ، Mohammad Hossein Kahaiee

Applied Optics

مجلات خارجی 2022 July Volume (61) No (21) Pages (6249-6256)

مشاهده مقاله

Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Alireza Nezamalhosseni

IET Optoelectronics

مجلات خارجی 2022 June Volume (16) No (3) Pages (93-105)

مشاهده مقاله

Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Alireza Nezamalhosseini ، Lawrence R. Chen

IET Optoelectronics

مجلات خارجی 2022 June Volume (16) No (3) Pages (133-148)

مشاهده مقاله

Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model

Mohammad Ali Amirabadi ، MohammadHossein Kahaei ، AliReza NezamAlHosseini ، LAWRENCE R. CHEN

IEEE Access

مجلات خارجی 2022 January Volume (10) Pages (23122-23139)

مشاهده مقاله

On the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system with receive diversity

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

Optik

مجلات خارجی 2021 January Volume (226) No (165883) Pages (165883-165883)

مشاهده مقاله

Deep learning based detection technique for FSO communication systems

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، Alireza Nezamalhosseini

Physical Communication

مجلات خارجی 2020 December Volume (43) No (101229) Pages (101229-101229)

مشاهده مقاله

Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication]

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، S. Alireza Nezamalhosseini

Physical Communication

مجلات خارجی 2020 August Volume (41) No (101057) Pages (101057-101057)

مشاهده مقاله

Performance analysis of a novel hybrid FSO/RF communication system

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

IET Optoelectronics

مجلات خارجی 2020 April Volume (14) No (2) Pages (66-74)

مشاهده مقاله

Deep Learning for channel estimation in FSO communication system

Mohammad Ali Amirabadi ، Mohammad Hossein Kahaei ، Alireza Nezamalhosseini ، Vahid Tabataba Vakili

Optics Communications

مجلات خارجی 2020 March Volume (459) No (124989) Pages (124989-124989)

مشاهده مقاله

Performance evaluation of a novel relay‐assisted hybrid FSO/RF communication system with receive diversity

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

IET Optoelectronics

مجلات خارجی 2019 October Volume (13) No (5) Pages (203-214)

مشاهده مقاله

On the performance of a multi-user multi-hop hybrid FSO/RF communication system

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

Optics Communications

مجلات خارجی 2019 August Volume (444) Pages (172-183)

مشاهده مقاله

Performance of a relay-assisted hybrid FSO/RF communication system

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

Physical Communication

مجلات خارجی 2019 August Volume (35) No (100729) Pages (100729-100729)

مشاهده مقاله

Performance comparison of two novel relay‐assisted hybrid FSO/RF communication systems

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

IET Communications

مجلات خارجی 2019 July Volume (13) No (11) Pages (1551-1556)

مشاهده مقاله

Performance analysis of hybrid FSO/RF communication systems with Alamouti coding or antenna selection

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

Journal of Engineering-JOE

مجلات خارجی 2019 May Volume (2019) No (5) Pages (3433-3437)

مشاهده مقاله

A novel hybrid FSO / RF communication system with receive diversity

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

Optik

مجلات خارجی 2019 May Volume (184) Pages (293-298)

مشاهده مقاله

A New Optimization Problem in FSO Communication System

Mohammad Ali Amirabadi ، Vahid Tabataba Vakili

IEEE Communications Letters

مجلات خارجی 2018 July Volume (22) No (7) Pages (1442-1445)

مشاهده مقاله

Rate Optimized Probabilistic Shaping-Based Transmission Over Field Deployed Coupled-Core 4-Core-Fiber

Mohammad Ali Amirabadi

2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)

کنفرانس های خارجی | 2023-06-26

مشاهده مقاله

Deep Learning for QoT Estimation in SMF and FMF Links

Mohammad Ali Amirabadi

2022 Asia Communications and Photonics Conference (ACP)

کنفرانس های خارجی | 2022-11-05

مشاهده مقاله

Deep Learning Regression vs. Classification for QoT Estimation in SMF and FMF Links

Mohammad Ali Amirabadi

2022 Italian Conference on Optics and Photonics (ICOP)

کنفرانس های خارجی | 2022-06-15

مشاهده مقاله

Closed-Form EGN Model for FMF Systems

Mohammad Ali Amirabadi

Asia Communications and Photonics Conference 2021

کنفرانس های خارجی | 2021-10-24

مشاهده مقاله

A Deep Learning based Detector for FSO System Considering Imperfect CSI Scenario

Mohammad Ali Amirabadi

2020 3rd West Asian Symposium on Optical and Millimeter-wave Wireless Communication (WASOWC)

کنفرانس های خارجی | 2020-11-24

دکتر محمدعلی امیرآبادی

استادیار

فیلتر بر اساس:

Intelligent learning for FSO-NOMA networks: A comparative study of distributed and cooperative Q-learning

End-to-End deep learning for power amplifier nonlinearity mitigation in communication systems

Deep Learning‐Driven Semantic Communication With Attention Modules

Deep multi‐agent RL for anti‐jamming and inter‐cell interference mitigation in NOMA networks

Reinforcement Learning-based FSO Power Adaptation by Deep Computer Vision-based Weather Classification

A Comprehensive Survey on Machine and Deep Learning for Optical Communications

Joint Mode Selection and Power Allocation for Orbital Angular Momentum-Multiplexed FSO Systems

Sum rate optimization in STAR-RIS assisted multiuser massive MIMO-OFDM VLC systems

Deep learning‐based location prediction in VANET

Deep Learning-Based Classification for QoT Estimation in SMF and FMF Links

Deep learning and deep transfer learning-based OPM for FMF systems

Active learning for OPM in FMF systems

Deep Neural Network-Based QoT Estimation for SMF and FMF Links

Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model

A New Fast Approach for an EEG-based Motor Imagery BCI Classification

End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system

Meta-ensemble learning for OPM in FMF systems

Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system

Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model

Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model

On the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system with receive diversity

Deep learning based detection technique for FSO communication systems

Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication]

Performance analysis of a novel hybrid FSO/RF communication system

Deep Learning for channel estimation in FSO communication system

Performance evaluation of a novel relay‐assisted hybrid FSO/RF communication system with receive diversity

On the performance of a multi-user multi-hop hybrid FSO/RF communication system

Performance of a relay-assisted hybrid FSO/RF communication system

Performance comparison of two novel relay‐assisted hybrid FSO/RF communication systems

Performance analysis of hybrid FSO/RF communication systems with Alamouti coding or antenna selection

A novel hybrid FSO / RF communication system with receive diversity

A New Optimization Problem in FSO Communication System

Rate Optimized Probabilistic Shaping-Based Transmission Over Field Deployed Coupled-Core 4-Core-Fiber

Deep Learning for QoT Estimation in SMF and FMF Links

Deep Learning Regression vs. Classification for QoT Estimation in SMF and FMF Links

Closed-Form EGN Model for FMF Systems

A Deep Learning based Detector for FSO System Considering Imperfect CSI Scenario