activity
20242026
most citedLow-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems

2 citations · 3 across the 12 of their papers we have counts for

collaborators

12 papers

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

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

Decoupled Delay-Doppler and Angle Estimation in BD-RIS Sensing via Nested Tucker Decomposition

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

We study single-target localization in a group-connected beyond-diagonal reconfigurable intelligent surface (BD-RIS)-assisted monostatic network with K element groups. We propose a…

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

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…

eess.SP2026

Living Off the Grid: Continuous Range-Angle Super-Resolution for Near-Field XL-MIMO

Sajad Daei, Gabor Fodor, Mikael Skoglund

Near-field extremely large multiple input multiple output (XL-MIMO) breaks the assumptions that make classical super-resolution effective: the receiver acquires only a limited set…

eess.SP2025

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…

eess.SP2024

RIS-Assisted Sensing: A Nested Tensor Decomposition-Based Approach

Kenneth Benício, Fazal-E-Asim, Bruno Sokal +4

We study a monostatic multiple-input multiple-output sensing scenario assisted by a reconfigurable intelligent surface using tensor signal modeling. We propose a method that exploi…

eess.SP2024

Extended Automatic Repeat Request For Integrated Sensing And Communication Networks

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

6G wireless networks will integrate communication, computing, localization, and sensing capabilities while meeting the needs of high reliability and trustworthiness. In this paper,…

cs.IT2024

Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

This paper considers the problem of downlink localization and user equipments (UEs) tracking with an adaptive procedure for a range of distances. We provide the base station (BS) w…

cs.IT2024★ 1 cited

Adaptive Downlink Localization in Near-Field and Far-Field

Georgios Mylonopoulos, Behrooz Makki, Gábor Fodor +1

This paper considers the problem of downlink localization of user equipment devices (UEs) that are either in the near-field (NF) or in the far-field (FF) of the array of the servin…

eess.SP2024

Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

This letter studies the problem of jointly detecting active user equipments (UEs) and estimating their location in the near field, wherein the base station (BS) is unaware of the n…