11 citations · 32 across the 14 of their papers we have counts for
15 papers
Structured PARAFAC Channel Estimation for Flexible Intelligent Metasurface Receivers
Xi Han, Junqiao Chen, Yuansheng Zhang +2
Flexible intelligent metasurfaces (FIMs) create geometric diversity through aperture morphing, but their configuration-dependent responses complicate uplink channel estimation. Thi…
PARAFAC-Based Low-Latency Angular Tracking for RIS-Assisted Sensing
Kenneth Benício, André L. F. de Almeida, Bruno Sokal +3
This paper proposes adaptive tensor tracking for angular trajectories (ATTRACT), a structure-aware alternating least squares algorithm for low-latency target tracking in reconfigur…
Low-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems
Kenneth B. A. Benício, Bruno Sokal, André L. F. de Almeida +3
This paper proposes a tensor-based parameter estimation algorithm for sensing in an intelligent reflecting surface-assisted system. We present a higher-order singular value decompo…
Mobility Management in Integrated Sensing and Communications Networks
Yuri S. Ribeiro, Behrooz Makki, Andre L. F. de Almeida +1
The performance of the integrated sensing and communication (ISAC) networks is considerably affected by the mobility of the transceiver nodes, user equipment devices (UEs) and the…
Tensor-based modeling/estimation of static channels in IRS-assisted MIMO systems
Kenneth B. A. Benício, André L. F. de Almeida, Bruno Sokal +3
This paper proposes a tensor-based parametric modeling and estimation framework in multiple-input multiple-output (MIMO) systems assisted by intelligent reflecting surfaces (IRSs).…
Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO
Yuri S. Ribeiro, Fazal E-Asim, André L. F de Almeida +2
In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) communication and we optimize the joint active and passive beamfo…
Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems
Kenneth B. A. Benicio, André L. F. de Almeida, Bruno Sokal +3
This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging. During the first stage, we model the received pilot signa…
Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks
Fazal-E-Asim, André L. F. de Almeida, Bruno Sokal +2
This paper proposes a pilot decoupling-based two-dimensional channel parameter estimation method for intelligent reflecting surface (IRS)-assisted networks. We exploit the combined…
Structured Channel Estimation for RIS-Assisted THz Communications
Fazal-E-Asim, Bruno Sokal, André L. F. de Almeida +2
This paper proposes tensor-based channel estimation for reconfigurable intelligent surface (RIS)-assisted communication networks. We exploit the inherent geometrical structure of t…
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…
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…
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…
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…
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…
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…