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20222026
most citedWaveforms for Computing Over the Air

14 citations · 21 across the 20 of their papers we have counts for

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cs.IT2026

It Takes Two Moments: Rigidity and Limits of Continuous Encoders for Over-the-Air Computation

Saeed Razavikia

We study over-the-air computation of functions, such as empirical variance, formed by combining two separately postprocessed sums of locally transformed observations. We consider c…

cs.IT2026

Function Computation Over Multiple Access Channels via Hierarchical Constellations

Saeed Razavikia, Mohammad Kazemi, Deniz Gündüz +1

We study function computation over a Gaussian multiple-access channel (MAC), where multiple transmitters aim at computing a function of their values at a common receiver. To this e…

cs.IT2025

Towards Optimal Constellation Design for Digital Over-the-Air Computation

Saeed Razavikia, Deniz Gündüz, Carlo Fischione

Over-the-air computation (OAC) has emerged as a key technique for efficient function computation over multiple-access channels (MACs) by exploiting the waveform superposition prope…

cs.IT2024★ 7 cited

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…

cs.IT2023

SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers

Saeed Razavikia, José Mairton Barros Da Silva Júnior, Carlo Fischione

Communication and computation are traditionally treated as separate entities, allowing for individual optimizations. However, many applications focus on local information's functio…

cs.IT2023

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…