Search Results for author:
Found 41 papers, 2 papers with code
Physically Large Apertures for Wireless Power Transfer: Performance and Regulatory Aspects
The power received at the device side decays rapidly with the distance from a conventional transmit antenna with a physically small aperture.
Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays
In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for.
A Measurement-Based Spatially Consistent Channel Model for Distributed MIMO in Industrial Environments
Based on the results, a channel model for D-MIMO in industrial environments is presented together with a recipe for its implementation.
Spatial separation of closely-spaced users in measured distributed massive MIMO channels
Furthermore, the dirty-paper coding (DPC) capacity and zero forcing (ZF) precoding sum-rate capacities are investigated across varying numbers of antennas and their topologies.
Early-Scheduled Handover Preparation in 5G NR Millimeter-Wave Systems
The handover (HO) procedure is one of the most critical functions in a cellular network driven by measurements of the user channel of the serving and neighboring cells.
Dynamic User Grouping based on Location and Heading in 5G NR Systems
User grouping based on geographic location in fifth generation (5G) New Radio (NR) systems has several applications that can significantly improve network performance, user experience, and service delivery.
Achieving Distributed MIMO Performance with Repeater-Assisted Cellular Massive MIMO
In what ways could cellular massive MIMO be improved?
Attention-aided Outdoor Localization in Commercial 5G NR Systems
The attention-aided block trains on the channel impulse responses using an attention-aided network, which captures the correlation between impulse responses for different beams.
Channel Performance Metrics and Evaluation for XR Head-Mounted Displays with mmWave Arrays
Millimeter-wave (mmWave) technology holds the potential to revolutionize head-mounted displays (HMDs) by enabling high-speed wireless communication with nearby processing nodes, where complex video rendering can take place.
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements
Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning.
A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing
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.
A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application
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.
Angle estimation using mmWave RSS measurements with enhanced multipath information
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
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
Reconfigurable intelligent surfaces have emerged as a technology with the potential to enhance wireless communication performance for 5G and beyond.
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms.
Wiometrics: Comparative Performance of Artificial Neural Networks for Wireless Navigation
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
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.
Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility
Based on a geometric model of the measurement environment, we analyze the visibility of specular components.
A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding
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
Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks.
Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport
Positioning with 5G signals generally requires connection to several base stations (BSs), which makes positioning more demanding in terms of infrastructure than communications.
High-Precision Machine-Learning Based Indoor Localization with Massive MIMO System
High-precision cellular-based localization is one of the key technologies for next-generation communication systems.
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones, and accurate six degrees of freedom (6DOF) pose ground truth of 0. 5 mm.
Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information
Opportunistic navigation using cellular signals is appealing for scenarios where other navigation technologies face challenges.
High-Resolution Channel Sounding and Parameter Estimation in Multi-Site Cellular Networks
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
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
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
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
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
Millimeter-wave cellular communication requires beamforming procedures that enable alignment of the transmitter and receiver beams as the user equipment (UE) moves.
LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection
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.
Experimental Exploration of Unlicensed Sub-GHz Massive MIMO for Massive Internet-of-Things
Networks can be extended with more gateways, increasing the number of supported devices.
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data
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.
Massive MIMO goes Sub-GHz: Implementation and Experimental Exploration for LPWANs
The assessment demonstrates the effect of channel hardening as well as the potential benefits of the experienced array gain.
Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming
In this paper, we present a real-time mmWave (28 GHz) massive MIMO testbed with hybrid beamforming.
Dynamic mmWave Channel Emulation in a Cost-Effective MPAC with Dominant-Cluster Concept
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.
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Mobile communications have been undergoing a generational change every ten years or so.
Standardization of Propagation Models: 800 MHz to 100 GHz -- A Historical Perspective
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
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
This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels.
