19 citations · 162 across the 36 of their papers we have counts for
39 papers
Q-SPARSE: Quantum Subspace Projection for Near-Field Angle-Range Spectrum Estimation
Mostafizur Rahaman Laskar, Sajad Daei, Gabor Fodor +1
Near-field wavefront curvature enables joint angle-range localization, but exploiting it entails repeated covariance-eigenspace tests over a two-dimensional spherical manifold. We…
A Mathematical Theory of Near-Field Super-Resolution
Sajad Daei, Gabor Fodor, Mikael Skoglund
Finite-aperture near-field sensing leads to a super-resolution geometry fundamentally different from the translation-invariant Fourier setting. In the Fresnel regime, wavefront cur…
Sparse Discrete Laplace and Gaussian Mechanisms under Local Differential Privacy
Amirreza Zamani, Sajad Daei, Parastoo Sadeghi +1
We study sparse locally private channels of the form where the admissible output set is allowed to depend on the private input …
Living Off the Grid: Continuous Range-Angle Super-Resolution for Near-Field XL-MIMO
Sajad Daei, Gabor Fodor, Mikael Skoglund
Near-field extremely large multiple input multiple output (XL-MIMO) breaks the assumptions that make classical super-resolution effective: the receiver acquires only a limited set…
Convexity Meets Curvature: Lifted Near-Field Super-Resolution
Sajad Daei, Gábor Fodor, Mikael Skoglund
Extra-large apertures, high carrier frequencies, and integrated sensing and communications (ISAC) are pushing array processing into the Fresnel region, where spherical wavefronts i…
Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits
Amirreza Zamani, Sajad Daei, Parastoo Sadeghi +1
We study an information-theoretic privacy mechanism design problem, where an agent observes useful data that is arbitrarily correlated with sensitive data , and design discl…
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC
Sajad Daei, Gabor Fodor, Mikael Skoglund
We propose a novel pilot-free multi-user uplink framework for integrated sensing and communication (ISAC) in mm-wave networks, where single-antenna users transmit orthogonal freque…
When Near Becomes Far: From Rayleigh to Optimal Near-Field and Far-Field Boundaries
Sajad Daei, Gabor Fodor, Mikael Skoglund
The transition toward 6G is pushing wireless communication into a regime where the classical plane-wave assumption no longer holds. Millimeter-wave and sub-THz frequencies shrink w…
Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution
Sajad Daei, Amirreza Zamani, Saikat Chatterjee +2
Integrated sensing and communications (ISAC) is a promising component of 6G networks, fusing communication and radar technologies to facilitate new services. Additionally, the use…
Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems
Sajad Daei, Mikael Skoglund, Gabor Fodor
In this work, we address the challenge of accurately obtaining channel state information at the transmitter (CSIT) for frequency division duplexing (FDD) multiple input multiple ou…
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels
Sajad Daei, Gabor Fodor, Mikael Skoglund
This work considers an uplink wireless communication system where multiple users with multiple antennas transmit data frames over dynamic channels. Previous studies have shown that…
Subspace-Informed Matrix Completion
Hamideh. Sadat Fazael Ardakani, Sajad Daei, Arash Amini +2
In this work, we consider the matrix completion problem, where the objective is to reconstruct a low-rank matrix from a few observed entries. A commonly employed approach involves…
Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing
Sajad Daei, Saeed Razavikia, Mikael Skoglund +2
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 wireles…
Multi-Task Private Semantic Communication
Amirreza Zamani, Sajad Daei, Tobias J. Oechtering +1
We study a multi-task private semantic communication problem, in which an encoder has access to an information source arbitrarily correlated with some latent private data. A user h…
Exploiting Spatial and Temporal Correlations in Massive MIMO Systems Operating Over Non-Stationary Aging Channels
Sajad Daei, Gabor Fodor, Mikael Skoglund
This work investigates a multi-user, multi-antenna uplink wireless system, in which multiple users transmit signals to a base station. Prior research has explored the potential for…
Towards Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels
Sajad Daei, Gabor Fodor, Mikael Skoglund +1
Several previous works have addressed the inherent trade-off between allocating resources in the power and time domains to pilot and data signals in multiple input multiple output…
Off-the-grid Blind Deconvolution and Demixing
Saeed Razavikia, Sajad Daei, Mikael Skoglund +2
We consider the problem of gridless blind deconvolution and demixing (GB2D) in scenarios where multiple users communicate messages through multiple unknown channels, and a single b…
Blind Asynchronous Goal-Oriented Detection for Massive Connectivity
Sajad Daei, Saeed Razavikia, Marios Kountouris +3
Resource allocation and multiple access schemes are instrumental for the success of communication networks, which facilitate seamless wireless connectivity among a growing populati…
Multi-User Distributed Computing Via Compressed Sensing
Ali Khalesi, Sajad Daei, Marios Kountouris +1
The multi-user linearly-separable distributed computing problem is considered here, in which servers help to compute the real-valued functions requested by users, where eac…
Distribution-aware Analysis Minimization
Raziyeh Takbiri, Sajad Daei
This work is about recovering an analysis-sparse vector, i.e. sparse vector in some transform domain, from under-sampled measurements. In real-world applications, there often exist…
Blind Goal-Oriented Massive Access for Future Wireless Networks
Sajad Daei, Marios Kountouris
Emerging communication networks are envisioned to support massive wireless connectivity of heterogeneous devices with sporadic traffic and diverse requirements in terms of latency,…
Multi-weight Matrix Completion with Arbitrary Subspace Prior Information
Hamideh. Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei
Matrix completion refers to completing a low-rank matrix from a few observed elements of its entries and has been known as one of the significant and widely-used problems in recent…
Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution
Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei
This work presents a novel framework for random access in crowded scenarios of multiple-input multiple-output(MIMO) systems. A multi-antenna base station (BS) and multiple single-a…
On the Sample Complexity of Super-Resolution Radar
Mohammad Mahdi Kamjoo, Saeed Razavi, Sajad Daei
We point out an issue with Lemma 8.6 of [1]. This lemma specifies the required sample complexity for recovering the delay-Doppler pairs in radar systems. In this lemma, it is claim…