9 papers
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…
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…
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…