14 citations · 21 across the 20 of their papers we have counts for
22 papers
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…
The Computing Channel: How Modulation Programs the Airwaves
Saeed Razavikia, Carlo Fischione
Distributed computing and distributed artificial intelligence require frequent exchanges of intermediate results, although many applications need only an aggregate rather than mess…
Optimal QAM Constellation for Over-the-Air Computation in the Presence of Heavy-Tailed Channel Noise
Saeed Razavikia, Deniz Gündüz, Carlo Fischione
Over-the-air computation (OAC) enables low-latency aggregation over multiple-access channels (MACs) by exploiting the superposition property of the wireless medium to compute funct…
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…
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…
VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
Saeed Razavikia, José Mairton Barros Da Silva Junior, Carlo Fischione
Recently, the ChannelComp framework has proposed digital over-the-air computation by designing digital modulations that enable the computation of arbitrary functions. Unlike tradit…
Multi-Symbol Digital AirComp via Modulation Design and Power Adaptation
Xiaojing Yan, Saeed Razavikia, Carlo Fischione
Recently, over-the-air computation (AirComp) leverages the superposition property of wireless channels to enable efficient function computation over a multiple access channel (MAC)…
On Designing Modulation for Over-the-Air Computation -- Part II: Pyramid Sampling
Saeed Razavikia, Carlo Fischione
Over-the-air computation (OAC) harnesses the natural superposition of wireless signals to compute aggregate functions during transmission, thereby collapsing communication and comp…
On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
Saeed Razavikia, Carlo Fischione
Over-the-air computation (OAC) leverages the physical superposition property of wireless multiple access channels (MACs) to compute functions while communication occurs, enabling s…
ReMAC:Digital Multiple Access Computing by Repeated Transmission
Xiaojing Yan, Saeed Razavikia, Carlo Fischione
In this paper, we consider the ChannelComp framework, where multiple transmitters aim to compute a function of their values at a common receiver while using digital modulations ove…
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…
Waveforms for Computing Over the Air
Ana Pérez-Neira, Marc Martinez-Gost, Alphan Şahin +3
Over-the-air computation (AirComp) leverages the signal-superposition characteristic of wireless multiple access channels to perform mathematical computations. Initially introduced…
A Novel Channel Coding Scheme for Digital Multiple Access Computing
Xiaojing Yan, Saeed Razavikia, Carlo Fischione
In this paper, we consider the ChannelComp framework, which facilitates the computation of desired functions by multiple transmitters over a common receiver using digital modulatio…
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion
Mohammad Bokaei, Saeed Razavikia, Stefano Rini +2
In this paper, we investigate the problem of recovering the frequency components of a mixture of complex sinusoids from a random subset of equally-spaced time-domain sample…
Blind Federated Learning via Over-the-Air q-QAM
Saeed Razavikia, José Mairton Barros Da Silva Júnior, Carlo Fischione
In this work, we investigate federated edge learning over a fading multiple access channel. To alleviate the communication burden between the edge devices and the access point, we…
ChannelComp: A General Method for Computation by Communications
Saeed Razavikia, José Mairton Barros Da Silva Júnior, Carlo Fischione
Over-the-air computation (AirComp) is a well-known technique by which several wireless devices transmit by analog amplitude modulation to achieve a sum of their transmit signals at…
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…
Optimal Receive Filter Design for Misaligned Over-the-Air Computation
Henrik Hellström, Saeed Razavikia, Viktoria Fodor +1
Over-the-air computation (OAC) is a promising wireless communication method for aggregating data from many devices in dense wireless networks. The fundamental idea of OAC is to exp…
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…
Computing Functions Over-the-Air Using Digital Modulations
Saeed Razavikia, Jose Mairton Barros da Silva, Carlo Fischione
Over-the-air computation (AirComp) is a known technique in which wireless devices transmit values by analog amplitude modulation so that a function of these values is computed over…
Blind Asynchronous Over-the-Air Federated Edge Learning
Saeed Razavikia, Jaume Anguera Peris, Jose Mairton B. da Silva +1
Federated Edge Learning (FEEL) is a distributed machine learning technique where each device contributes to training a global inference model by independently performing local comp…