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20082023
most citedMillimeter Wave Cellular Networks: A MAC Layer Perspective

406 citations · 635 across the 64 of their papers we have counts for

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10 papers · 1 filter

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2022

EVM Mitigation with PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM

Shashi Kant, Mats Bengtsson, Gabor Fodor +2

Although signal distortion-based peak-to-average power ratio (PAPR) reduction is a feasible candidate for orthogonal frequency division multiplexing (OFDM) to meet standard/regulat…

eess.SP2021★ 3 cited

Over-the-Air Federated Learning with Retransmissions (Extended Version)

Henrik Hellström, Viktoria Fodor, Carlo Fischione

Motivated by increasing computational capabilities of wireless devices, as well as unprecedented levels of user- and device-generated data, new distributed machine learning (ML) me…

eess.SP2021

Simultaneous Wireless Information and Power Transfer for Federated Learning

José Mairton B. da Silva, Konstantinos Ntougias, Ioannis Krikidis +2

In the Internet of Things, learning is one of most prominent tasks. In this paper, we consider an Internet of Things scenario where federated learning is used with simultaneous tra…