Mostafa Hussien

According to our database, Mostafa Hussien authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Facilitating Power Efficient URLLC Systems in UAV Networks Under Jittering.

Ali Ranjha, Muhammad Awais Javed, Md. Jalil Piran, Muhammad Asif, Mostafa Hussien, Sherali Zeadally, Jaroslav Frnda

IEEE Trans. Consumer Electron., February, 2024

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance.

Mostafa Hussien, Mahmoud Afifi, Kim Khoa Nguyen, Mohamed Cheriet

CoRR, 2024

Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting.

Mostafa Hussien, Mohamed Shoaib, Di Wu, Kim Khoa Nguyen, Mohamed Cheriet

Proceedings of the IEEE International Conference on Communications, 2024

2023

Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback.

Mostafa Hussien, Kim Khoa Nguyen, Ali Ranjha, Moez Krichen, Abdulaziz Alshammari, Mohamed Cheriet

IEEE Trans. Consumer Electron., 2023

Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey.

Mostafa Hussien, Islam A. T. F. Taj-Eddin, Mohammed F. A. Ahmed, Ali Ranjha, Kim Khoa Nguyen, Mohamed Cheriet

CoRR, 2023

Carrier Frequency Offset Estimation in 5G NR: Introducing Gradient Boosting Machines.

Mostafa Hussien, Ahmed A. Abdelmoaty, Mahmoud Elsaadany, Mohammed F. A. Ahmed, Ghyslain Gagnon, Kim Khoa Nguyen, Mohamed Cheriet

IEEE Access, 2023

2022

Self-Supervised Learning for CSI Compression in FDD Massive MIMO Systems.

Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet

IEEE Commun. Lett., 2022

A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT.

Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet

CoRR, 2022

PRVNet: A Novel Partially-Regularized Variational Autoencoders for Massive MIMO CSI Feedback.

Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation.

Mostafa Hussien, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

Modeling and Optimizing Resource-Constrained Instance-Based Transfer Learning.

Mohammad Askarizadeh, Mostafa Hussien, Alireza Morsali, Kim Khoa Nguyen

Proceedings of the IEEE Global Communications Conference, 2022

2021

CAMS: Color-Aware Multi-Style Transfer.

Mahmoud Afifi, Abdullah Abuolaim, Mostafa Hussien, Marcus A. Brubaker, Michael S. Brown

CoRR, 2021

Towards More Reliable Deep Learning-Based Link Adaptation for WiFi 6.

Mostafa Hussien, Mohammed F. A. Ahmed, Ghassan S. Dahman, Kim Khoa Nguyen, Mohamed Cheriet, Gwenael Poitau

Proceedings of the ICC 2021, 2021

Optimized Transfer Learning For Wireless Channel Selection.

Mohammad Askarizadeh, Mostafa Hussien, Masoumeh Zare, Kim Khoa Nguyen

Proceedings of the IEEE Global Communications Conference, 2021

Fault-Tolerant 1-bit Representation for Distributed Inference Tasks in Wireless IoT.

Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet

Proceedings of the 17th International Conference on Network and Service Management, 2021

Optimized Transfer Learning: Application for Wireless Channel Selection.

Mohammad Askarizadeh, Mostafa Hussien, Masoumeh Zare, Kim Khoa Nguyen

Proceedings of the 17th International Conference on Network and Service Management, 2021

2020

PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback.

Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet

CoRR, 2020