Search

Your search keyword '"Hasabelnaby, Mahmoud A."' showing total 2 results
Start Over Author "Hasabelnaby, Mahmoud A." Publication Year Range This year
2 results on '"Hasabelnaby, Mahmoud A."'

1. Transformer Masked Autoencoders for Next-Generation Wireless Communications: Architecture and Opportunities

Author

Zayat, Abdullah, Hasabelnaby, Mahmoud A., Obeed, Mohanad, and Chaaban, Anas

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Networking and Internet Architecture
Abstract

Next-generation communication networks are expected to exploit recent advances in data science and cutting-edge communications technologies to improve the utilization of the available communications resources. In this article, we introduce an emerging deep learning (DL) architecture, the transformer-masked autoencoder (TMAE), and discuss its potential in next-generation wireless networks. We discuss the limitations of current DL techniques in meeting the requirements of 5G and beyond 5G networks, and how the TMAE differs from the classical DL techniques can potentially address several wireless communication problems. We highlight various areas in next-generation mobile networks which can be addressed using a TMAE, including source and channel coding, estimation, and security. Furthermore, we demonstrate a case study showing how a TMAE can improve data compression performance and complexity compared to existing schemes. Finally, we discuss key challenges and open future research directions for deploying the TMAE in intelligent next-generation mobile networks., Comment: accepted to appear at IEEE Communications Magazine

Published
2024

2. Energy-Efficient Multi-Pair Computation for Intra Cell-Free Massive MIMO Communications

Author

Hasabelnaby, Mahmoud A. and Chaaban, Anas

Abstract

Cell-free massive MIMO (CF-mMIMO) networks have been extensively researched in the literature with a focus on separately designing either their uplink or downlink transmission schemes. However, a joint design of the uplink and downlink transmission can yield superior performance, particularly in CF-mMIMO networks with intra-cloud communications. This letter proposes an end-to-end transmission scheme for intra-network communication in a CF-mMIMO network, which does not split the transmission into uplink and downlink in the classical sense. It characterizes the performance of the scheme under perfect and imperfect channel state information (CSI), and then optimizes its energy efficiency while considering fronthaul capacity and power constraints, access point power constraints, and user power and spectral efficiency constraints. Numerical evaluations demonstrate that the proposed scheme achieves significantly improved energy efficiency compared to the state-of-art.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results