Antenna selection for energy-efficient dual-functional radar-communication systems

I Valiulahi, C Masouros, A Salem… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
This article studies antenna selection for an energy-efficient millimeter-Wave (mmWave)
dual-functional radar-communication (DFRC) system, communicating with multiple users …

Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing

S Daei, S Razavikia, M Skoglund, G Fodor… - arXiv preprint arXiv …, 2024 - arxiv.org
In the near future, the Internet of Things will interconnect billions of devices, forming a vast
network where users sporadically transmit short messages through multi-path wireless …

Blind asynchronous goal-oriented detection for massive connectivity

S Daei, S Razavikia, M Kountouris… - … on Modeling and …, 2023 - ieeexplore.ieee.org
Resource allocation and multiple access schemes are instrumental for the success of
communication networks, which facilitate seamless wireless connectivity among a growing …

Off-the-grid blind deconvolution and demixing

S Razavikia, S Daei, M Skoglund… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
We consider the problem of gridless blind deconvolution and demixing (GB2D) in scenarios
where multiple users communicate messages through multiple unknown channels, and a …

A novel demixing algorithm for joint target detection and impulsive noise suppression

M Seidi, S Razavikia, S Daei… - IEEE Communications …, 2022 - ieeexplore.ieee.org
This work considers a collocated radar scenario where a probing signal is emitted toward
the targets of interest and records the received echoes. Estimating the relative delay …

Separating radar signals from impulsive noise using atomic norm minimization

S Bayat, S Daei - IEEE Transactions on Circuits and Systems II …, 2020 - ieeexplore.ieee.org
We consider the problem of corrupted radar super-resolution, a generalization of
compressed radar super-resolution in which one aims to recover the continuous-valued …

Active user detection and channel estimation for spatial-based random access in crowded massive MIMO systems via blind super-resolution

A Afshar, VT Vakili, S Daei - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
This work presents a novel framework for random access (RA) in crowded scenarios of
massive multiple-input multiple-output (MIMO) systems. A huge portion of the system …

Blind two-dimensional super-resolution in multiple-input single-output linear systems

S Sayyari, S Daei, F Haddadi - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
In this letter, we consider a multiple-input single-output (MISO) linear time-varying system
whose output is a superposition of scaled and time-frequency shifted versions of inputs. The …

ISAC Super-Resolution Receiver via Lifted Atomic Norm Minimization

I Valiulahi, C Masouros, AP Petropulu - arXiv preprint arXiv:2411.09495, 2024 - arxiv.org
This paper introduces an off-the-grid estimator for integrated sensing and communication
(ISAC) systems, utilizing lifted atomic norm minimization (LANM). The key challenge in this …

Demixing sines and spikes using multiple measurement vectors

H Maskan, S Daei, MH Kahaei - Signal Processing, 2023 - Elsevier
We address the line spectral estimation problem with multiple measurement corrupted
vectors. Such scenarios appear in many practical applications such as radar, optics, and …