3 papers
eess.SP2025
Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation
Ahmad Abdel-Qader, Anas Chaaban, Mohamed S. Shehata
In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at v…
cs.IT2023
Coding for the Gaussian Channel in the Finite Blocklength Regime Using a CNN-Autoencoder
Nourhan Hesham, Mohamed Bouzid, Ahmad Abdel-Qader +1
The development of delay-sensitive applications that require ultra high reliability created an additional challenge for wireless networks. This led to Ultra-Reliable Low-Latency Co…
cs.IT2023
Binary Modelling and Capacity-Approaching Coding for the IM/DD Channel
Sarah Bahanshal, Ahmad Abdel-Qader, Anas Chaaban
The paper provides a new perspective on peak- and average-constrained Gaussian channels. Such channels model optical wireless communication (OWC) systems which employ intensity-mod…