3 citations · 4 across the 7 of their papers we have counts for
16 papers
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos +3
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to…
Exactness of OPF Relaxation on Three-phase Radial Networks with Delta Connections
Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low +1
Simulations have shown that while semi-definite relaxations of AC optimal power flow (AC-OPF) on three-phase radial networks with only wye connections tend to be exact, the presenc…
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…
GRATE: Granular Recovery of Aggregated Tensor Data by Example
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
In this paper, we address the challenge of recovering an accurate breakdown of aggregated tensor data using disaggregation examples. This problem is motivated by several applicatio…
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…
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…