Search Results for author: Fredrik Tufvesson

Found 31 papers, 1 papers with code

A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing

no code implementations18 Mar 2024 Michiel Sandra, Christian Nelson, Xuhong LI, Xuesong Cai, Fredrik Tufvesson, Anders J Johansson

The results demonstrate the great potential of the presented sounding system for providing high-quality radio channel measurements, contributing to high-resolution channel estimation, characterization, and active and passive sensing in realistic and dynamic scenarios.

Super-Resolution

A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application

no code implementations15 Mar 2024 Xuhong LI, Xuesong Cai, Erik Leitinger, Fredrik Tufvesson

We develop a Bayesian model for sequential detection and estimation of interacting MF model parameters, MF states and mobile agent's state including position and orientation.

Simultaneous Localization and Mapping

Angle estimation using mmWave RSS measurements with enhanced multipath information

no code implementations14 Mar 2024 Neharika Valecha, Jesus Omar Lacruz, Michael Lentmaier, Joerg Widmer, Fredrik Tufvesson

We propose an algorithm to jointly estimate the angle of arrival (AoA) and angle of departure (AoD), based only on the received signal strength (RSS).

Impact of Array Configuration on Head-Mounted Display Performance at mmWave Bands

no code implementations12 Dec 2023 Alexander Marinšek, Xuesong Cai, Lieven De Strycker, Fredrik Tufvesson, Liesbet Van der Perre

DE gain is a significant factor in understanding system performance since mmWave channel sparsity and eigenmode imbalance often results in provisioning the majority of the available power to the DE.

Vision-Based Reconfigurable Intelligent Surface Beam Tracking for mmWave Communications

no code implementations27 Oct 2023 Juan Sanchez, Xuesong Cai, Fredrik Tufvesson

Reconfigurable intelligent surfaces have emerged as a technology with the potential to enhance wireless communication performance for 5G and beyond.

Wiometrics: Comparative Performance of Artificial Neural Networks for Wireless Navigation

no code implementations5 Sep 2023 Russ Whiton, Junshi Chen, Fredrik Tufvesson

Radio signals are used broadly as navigation aids, and current and future terrestrial wireless communication systems have properties that make their dual-use for this purpose attractive.

Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions

no code implementations18 Aug 2023 Anish Pradhan, Harpreet S. Dhillon, Fredrik Tufvesson, Andreas F. Molisch

For example, the condition of visibility of a scatterer from the perspective of a BS is different from that of an MS and depends on the height of the scatterer.

Point Processes

A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding

no code implementations20 Apr 2023 Ali Al-Ameri, Jaeyoung Park, Juan Sanchez, Xuesong Cai, Fredrik Tufvesson

The primary purpose is to maintain the estimation accuracy of angles of MPCs while decreasing the resolution of Doppler frequencies for minimized complexity of channel parameter estimation.

ML-Enabled Outdoor User Positioning in 5G NR Systems via Uplink SRS Channel Estimates

no code implementations12 Apr 2023 Andre Ráth, Dino Pjanić, Bo Bernhardsson, Fredrik Tufvesson

Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks.

Position

Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport

no code implementations21 Mar 2023 Yu Ge, Hedieh Khosravi, Fan Jiang, Hui Chen, Simon Lindberg, Peter Hammarberg, Hyowon Kim, Oliver Brunnegård, Olof Eriksson, Bengt-Erik Olsson, Fredrik Tufvesson, Lennart Svensson, Henk Wymeersch

Positioning with 5G signals generally requires connection to several base stations (BSs), which makes positioning more demanding in terms of infrastructure than communications.

Position

The LuViRA Dataset: Measurement Description

1 code implementation10 Feb 2023 Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander Dürr, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesson, Kalle Åström, Ove Edfors, Steffen Malkowsky, Liang Liu

We present a dataset to evaluate localization algorithms, which utilizes vision, audio, and radio sensors: the Lund University Vision, Radio, and Audio (LuViRA) Dataset.

Image Classification

Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information

no code implementations18 Jan 2023 Junshi Chen, Russ Whiton, Fredrik Tufvesson

Opportunistic navigation using cellular signals is appealing for scenarios where other navigation technologies face challenges.

Position Simultaneous Localization and Mapping

High-Resolution Channel Sounding and Parameter Estimation in Multi-Site Cellular Networks

no code implementations17 Nov 2022 Junshi Chen, Russ Whiton, Xuhong LI, Fredrik Tufvesson

Accurate understanding of electromagnetic propagation properties in real environments is necessary for efficient design and deployment of cellular systems.

Enhanced Effective Aperture Distribution Function for Characterizing Large-Scale Antenna Arrays

no code implementations23 Sep 2022 Xuesong Cai, Meifang Zhu, Aleksei Fedorov, Fredrik Tufvesson

To overcome the issues, an enhanced EADF is proposed with a low complexity that is intrinsically determined by the characteristic of each array element rather than the array aperture.

Toward 6G with Terahertz Communications: Understanding the Propagation Channels

no code implementations16 Sep 2022 Xuesong Cai, Xiang Cheng, Fredrik Tufvesson

This article aims at providing insights for a comprehensive understanding of terahertz (THz) propagation channels.

A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications

no code implementations10 Dec 2021 Anish Shastri, Neharika Valecha, Enver Bashirov, Harsh Tataria, Michael Lentmaier, Fredrik Tufvesson, Michele Rossi, Paolo Casari

The commercial availability of low-cost millimeter wave (mmWave) communication and radar devices is starting to improve the penetration of such technologies in consumer markets, paving the way for large-scale and dense deployments in fifth-generation (5G)-and-beyond as well as 6G networks.

Beamspace Multidimensional ESPRIT Approaches for Simultaneous Localization and Communications

no code implementations14 Nov 2021 Fan Jiang, Fuxi Wen, Yu Ge, Meifang Zhu, Henk Wymeersch, Fredrik Tufvesson

The proposed method is compared to the tensor ESPRIT method, in terms of channel estimation, communication, localization, and sensing performance, further validating the perturbation analysis.

Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility

no code implementations13 Sep 2021 Dino Pjanić, Alexandros Sopasakis, Harsh Tataria, Fredrik Tufvesson, Andres Reial

Millimeter-wave cellular communication requires beamforming procedures that enable alignment of the transmitter and receiver beams as the user equipment (UE) moves.

BIG-bench Machine Learning Classification

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

no code implementations7 Sep 2021 MinKeun Chung, Liang Liu, Andreas Johansson, Sara Gunnarsson, Martin Nilsson, Zhinong Ying, Olof Zander, Kamal Samanta, Chris Clifton, Toshiyuki Koimori, Shinya Morita, Satoshi Taniguchi, Fredrik Tufvesson, Ove Edfors

The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected.

Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data

no code implementations9 Feb 2021 B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson

Classification between different activities in an indoor environment using wireless signals is an emerging technology for various applications, including intrusion detection, patient care, and smart home.

Classification General Classification +1

Massive MIMO goes Sub-GHz: Implementation and Experimental Exploration for LPWANs

no code implementations3 Dec 2020 Gilles Callebaut, Sara Gunnarsson, Andrea P. Guevara, Fredrik Tufvesson, Sofie Pollin, Liesbet Van der Perre, Anders J Johansson

The assessment demonstrates the effect of channel hardening as well as the potential benefits of the experienced array gain.

Dynamic mmWave Channel Emulation in a Cost-Effective MPAC with Dominant-Cluster Concept

no code implementations21 Aug 2020 Xuesong Cai, Yang Miao, Jinxing Li, Fredrik Tufvesson, Gert Frølund Pedersen, Wei Fan

In this contribution, we firstly illustrate the dominant-cluster(s) concept, where the non-dominant clusters in the mmWave channels are pruned, for mmWave 5G devices applying massive MIMO beamforming.

Standardization of Propagation Models: 800 MHz to 100 GHz -- A Historical Perspective

no code implementations15 Jun 2020 Harsh Tataria, Katsuyuki Haneda, Andreas F. Molisch, Mansoor Shafi, Fredrik Tufvesson

This motivated the development of the first standardized propagation model by the European Cooperation in Science and Technology (COST) 207 working group.

Digital Predistortion for Multiuser Hybrid MIMO at mmWaves

no code implementations22 Mar 2019 Alberto Brihuega, Lauri Anttila, Mahmoud Abdelaziz, Fredrik Tufvesson, Mikko Valkama

Efficient mitigation of power amplifier (PA) nonlinear distortion in multi-user hybrid precoding based broadband mmWave systems is an open research problem.

Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning

no code implementations21 Aug 2017 Joao Vieira, Erik Leitinger, Muris Sarajlic, Xuhong Li, Fredrik Tufvesson

This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels.

Cannot find the paper you are looking for? You can Submit a new open access paper.