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20202026
most citedChannel Parameter Estimation for Millimeter-Wave Cellular Systems with Hybrid Beamforming

17 citations · 19 across the 10 of their papers we have counts for

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8 papers · 1 filter

eess.SP2026

Low-Complexity Tensor-Based Channel Parameter Estimation for mmWave MIMO-Assisted Systems

Francisco I. T. Pires, Jean C. S. Ferreira, Fazal-E Asim

This paper presents a low-complexity tensor-based channel estimation framework for downlink mmWave massive MIMO systems using passive Butler-matrix beamforming. By modeling receive…

eess.SP2026

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…

eess.SP2026

Structured Channel Parameter Estimation for RIS-Assisted MIMO Systems via Kronecker and Tensor Factorizations

Melryllin G. O. Sousa, Jean C. S. Ferreira, Fazal-E Asim

This paper proposes structured channel-parameter estimators for reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems employing uniform re…

eess.SP2026

Low-Complexity Channel Parameter Estimation for Coprime HRIS-Assisted MIMO Systems

Jean C. S. Ferreira, Melryllin G. O. Sousa, Fazal-E Asim

This paper proposes a parameter estimation scheme for uplink MIMO systems assisted by a Hybrid Reconfigurable Intelligent Surface (HRIS). To reduce hardware complexity, the HRIS em…

eess.SP2026

Deconstructing the Composite Channel for Beyond Diagonal RIS: Channel Estimation and Beamforming Design

Fazal-E Asim, André L. F. de Almeida, Bruno Sokal +2

As beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) gain increasing attention in high-frequency wireless communications, accurate and scalable channel-estimation metho…

eess.SP2026★ 2 cited

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…

eess.SP2026

Decoupled Azimuth Elevation AoA Estimation Exploiting Kronecker Separable Steering Matrices

Faizan A. Khattak, Ian K. Proudler, Stephan Weiss +1

Uniform rectangular arrays (URA), structured non-uniform rectangular arrays (NURA), and parallelogram shaped (UPgA and NUPgA) arrays admit steering vectors that can be expressed as…

eess.SP2026

Multi-Target Estimation via Tensor Decomposition for Beyond Diagonal RIS-Aided Bistatic Sensing

Kenneth Benício, André L. F. de Almeida, Fazal-E Asim +4

We investigate the performance of beyond-diagonal reconfigurable intelligent surfaces (BD-RIS) for bistatic MIMO multi-target sensing using a two-stage tensor Doppler-delay-angle e…