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20172020
most citedSTELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

3 citations · 4 across the 7 of their papers we have counts for

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9 papers · 1 filter

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…

eess.SP2019

Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs

Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos

This letter revisits the channel estimation problem for MIMO systems with one-bit analog-to-digital converters (ADCs) through a novel algorithm--Amplitude Retrieval (AR). Unlike th…

eess.SP2019

Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems

Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos

We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel es…

eess.SP2018

Data-Driven Learning-Based Optimization for Distribution System State Estimation

Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos

Distribution system state estimation (DSSE) is a core task for monitoring and control of distribution networks. Widely used algorithms such as Gauss-Netwon perform poorly with the…