activity
20132024
most citedMillimeter Wave Cellular Networks: A MAC Layer Perspective

406 citations · 638 across the 50 of their papers we have counts for

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Showing 2022Show all

18 papers · 1 filter

cs.IT2022

Mixed Coherent and Non-Coherent Transmission for Multi-CPU Cell-Free Systems

Roberto P. Antonioli, Iran M. Braga, Gabor Fodor +2

Existing works on cell-free systems consider either coherent or non-coherent downlink data transmission and a network deployment with a single central processing unit (CPU). While…

eess.SP2022

A Distributed Game-Theoretic Solution for Power Management in the Uplink of Cell-Free Systems

Juno V. Saraiva, Roberto P. Antonioli, Gábor Fodor +2

This paper investigates cell-free massive multiple input multiple output systems with a particular focus on uplink power allocation. In these systems, uplink power control is highl…

eess.SP2022

Efficient Battery Usage in Wireless-Powered Cell-Free Systems with Self-Energy Recycling

Iran M. Braga, Roberto P. Antonioli, Gabor Fodor +2

This paper investigates wireless-powered cell-free systems, in which the users send their uplink data signal while simultaneously harvesting energy from network nodes and user term…

eess.SY2022★ 4 cited

Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation

Sergey S. Tambovskiy, Gábor Fodor, Hugo Tullberg

Cell-free multi-user multiple input multiple output networks are a promising alternative to classical cellular architectures, since they have the potential to provide uniform servi…

cs.NI2022

Architecture, Protocols, and Algorithms for Location-Aware Services in Beyond 5G Networks

Peter Hammarberg, Julia Vinogradova, Gábor Fodor +3

The automotive and railway industries are rapidly transforming with a strong drive towards automation and digitalization, with the goal of increased convenience, safety, efficiency…

cs.LG2022★ 7 cited

Federated Learning Using Three-Operator ADMM

Shashi Kant, José Mairton B. da Silva, Gabor Fodor +3

Federated learning (FL) has emerged as an instance of distributed machine learning paradigm that avoids the transmission of data generated on the users' side. Although data are not…

cs.IT2022★ 2 cited

Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections

Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal +3

Reconfigurable intelligent surface is a potential technology component of future wireless networks due to its capability of shaping the wireless environment. The promising MIMO sys…

eess.SP2022

Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach

Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida +2

Passive intelligent reconfigurable surfaces (IRS) are becoming an attractive component of cellular networks due to their ability of shaping the propagation environment and thereby…

eess.SP2022★ 2 cited

Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections

Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal +3

Reconfigurable intelligent surface (RIS) is a candidate technology for future wireless networks. It enables to shape the wireless environment to reach massive connectivity and enha…

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.SP2022

IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation

Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida +2

In this paper, we propose a rank-one tensor modeling approach that yields a compact representation of the optimum IRS phase-shift vector for reducing the feedback overhead. The mai…

cs.IT2022★ 2 cited

Semi-Blind Joint Channel and Symbol Estimation for IRS-Assisted MIMO Systems

Gilderlan Tavares de Araújo, André Lima Férrer de Almeida, Rémy Boyer +1

Intelligent reflecting surface (IRS) is a promising technology for the 6th generation of wireless systems, realizing the smart radio environment concept. In this paper, we present…

eess.SP2022★ 1 cited

Optimizing Pilot Spacing in MU-MIMO Systems Operating Over Aging Channels

Sebastian Fodor, Gábor Fodor, Doğa Gürgünoğlu +1

In the uplink of multiuser multiple input multiple output (MU-MIMO) systems operating over aging channels, pilot spacing is crucial for acquiring channel state information and achi…

cs.IT2022★ 1 cited

Vehicular Positioning and Tracking in Multipath Non-Line-of-Sight Channels

Zhicheng Ye, Julia Vinogradova, Gábor Fodor +1

We consider the downlink transmission in a single cell multiple-input multiple-output system, in which the user equipment correspond to a vehicle moving along a given trajectory. T…

eess.SP2022

On Estimating the Autoregressive Coefficients of Time-Varying Fading Channels

Julia Vinogradova, Gábor Fodor, Peter Hammarberg

As several previous works have pointed out, the evolution of the wireless channels in multiple input multiple output systems can be advantageously modeled as an autoregressive proc…

eess.SP2022

On the Achievable SINR in MU-MIMO Systems Operating in Time-Varying Rayleigh Fading

Gábor Fodor, Sebastian Fodor, Miklós Telek

Minimizing the symbol error in the uplink of multi-user multiple input multiple output systems is important, because the symbol error affects the achieved signal-to-interference-pl…

cs.IT2022★ 3 cited

Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multi-User MIMO Networks

Gilderlan Tavares de Araújo, Paulo Ricardo Brboza Gomes, André Lima Férrer de Almeida +2

Intelligent reflecting surface (IRS) is a promising technology for beyond 5th Generation of the wireless communications. In fully passive IRS-assisted systems, channel estimation i…

cs.NI2022★ 3 cited

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking

Salwa Saafi, Olga Vikhrova, Gábor Fodor +2

The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices i…