activity
20182023
collaborators

7 papers

cs.IT2023

Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems

Omar M. Sleem, Mohamed Salah Ibrahim, Akshay Malhotra +2

Reference signals overhead reduction has recently evolved as an effective solution for improving the system spectral efficiency. This paper introduces a new downlink data structure…

eess.SP2022

Vandermonde Constrained Tensor Decomposition for Hybrid Beamforming in Multi-Carrier MIMO Systems

Mohamed Salah Ibrahim, Akshay Malhotra, Mihaela Beluri +2

Hybrid beamforming has evolved as a promising technology that offers the balance between system performance and design complexity in mmWave MIMO systems. Existing hybrid beamformin…

eess.SP2020

Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation

Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar +1

Improving the uplink quality of service for users located around the boundaries between cells is a key challenge in LTE systems. Relying on power control, existing approaches throt…

eess.SP2020

Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis

Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos

Providing reliable service to users close to the edge between cells remains a challenge in cellular systems, even as 5G deployment is around the corner. These users are subject to…

eess.SP2020

Fast Algorithms for Joint Multicast Beamforming and Antenna Selection in Massive MIMO

Mohamed Salah Ibrahim, Aritra Konar, Nicholas D. Sidiropoulos

Massive MIMO is currently a leading physical layer technology candidate that can dramatically enhance throughput in 5G systems, for both unicast and multicast transmission modaliti…

cs.IT2018

Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection

Mohamed S. Ibrahim, Aritra Konar, Mingyi Hong +1

This paper considers the (NP-)hard problem of joint multicast beamforming and antenna selection. Prior work has focused on using Semi-Definite relaxation (SDR) techniques in an att…