4 citations · 8 across the 5 of their papers we have counts for
6 papers
QCommE2E: An Open-Source Simulation of End-to-End Quantum Communication Systems
Omar Alnaseri
This paper presents QCommE2E as an open-source simulation framework for end-to-end quantum communication systems, with explicit tutorial emphasis. The primary objective is to devel…
A Review on Quantum Satellite Communications: Challenges and Future Directions
Omar Alnaseri, Yassine Himeur, Ahmed Al Asadi +4
Quantum satellite communication (QSC) is emerging as a strategic technology for secure global networking and long-distance quantum connectivity. This review prioritizes the major c…
Complexity of Post-Quantum Cryptography in Embedded Systems and Its Optimization Strategies
Omar Alnaseri, Yassine Himeur, Shadi Atalla +1
With the rapid advancements in quantum computing, traditional cryptographic schemes like Rivest-Shamir-Adleman (RSA) and elliptic curve cryptography (ECC) are becoming vulnerable,…
End-to-End Deep Learning in Phase Noisy Coherent Optical Link
Omar Alnaseri, Yassine Himeur
In coherent optical orthogonal frequency-division multiplexing (CO-OFDM) fiber communications, a novel end-to-end learning framework to mitigate Laser Phase Noise (LPN) impairments…
A Review on Deep Learning Autoencoder in the Design of Next-Generation Communication Systems
Omar Alnaseri, Laith Alzubaidi, Yassine Himeur +3
Traditional mathematical models used in designing next-generation communication systems often fall short due to inherent simplifications, narrow scope, and computational limitation…
Deep Learning Autoencoders for Reducing PAPR in Coherent Optical Systems
Omar Alnaseri, Ibtesam R. K. Al-Saedi, Yassine Himeur +1
This paper presents an innovative approach to mitigating the peak-to-average power ratio (PAPR). The proposed method uses a deep learning model called autoencoders (AEs) to simplif…