14 citations · 55 across the 19 of their papers we have counts for
21 papers
RIS-Enabled and Access-Point-Free Simultaneous Radio Localization and Mapping
Hyowon Kim, Hui Chen, Musa Furkan Keskin +5
In the upcoming sixth generation (6G) of wireless communication systems, reconfigurable intelligent surfaces~(RISs) are regarded as one of the promising technological enablers, whi…
MmWave Mapping and SLAM for 5G and Beyond
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +5
Device localization and radar-like mapping are at the heart of integrated sensing and communication, enabling not only new services and applications, but can also improve communica…
PMBM-based SLAM Filters in 5G mmWave Vehicular Networks
Hyowon Kim, Karl Granström, Lennart Svensson +2
Radio-based vehicular simultaneous localization and mapping (SLAM) aims to localize vehicles while mapping the landmarks in the environment. We propose a sequence of three Poisson…
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +6
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the prop…
Personalized Federated Learning over non-IID Data for Indoor Localization
Peng Wu, Tales Imbiriba, Junha Park +2
Localization and tracking of objects using data-driven methods is a popular topic due to the complexity in characterizing the physics of wireless channel propagation models. In the…
Location-aware Channel Estimation for RIS-aided mmWave MIMO Systems via Atomic Norm Minimization
Hyeonjin Chung, Sunwoo Kim
In this paper, we propose a location-aware channel estimation based on the atomic norm minimization (ANM) for the reconfigurable intelligent surface (RIS)-aided millimeter-wave mul…
Atomic Norm Minimization-based Low-Overhead Channel Estimation for RIS-aided MIMO Systems
Hyeonjin Chung, Sunwoo Kim
Large beam training overhead has been considered as one of main issues in the channel estimation for reconfigurable intelligent surface (RIS)-aided systems. In this paper, we propo…
Dirichlet process approach for radio-based simultaneous localization and mapping
Jaebok Lee, Hyowon Kim, Henk Wymeersch +1
Due to 5G millimeter wave (mmWave), spatial channel parameters are becoming highly resolvable, enabling accurate vehicle localization and mapping. We propose a novel method of radi…
Cooperative mmWave PHD-SLAM with Moving Scatterers
Hyowon Kim, Jaebok Lee, Yu Ge +3
Using the multiple-model (MM) probability hypothesis density (PHD) filter, millimeter wave (mmWave) radio simultaneous localization and mapping (SLAM) in vehicular scenarios is sus…
Blockwise Phase Rotation-Aided Analog Transmit Beamforming for 5G mmWave Systems
Md. Abdul Latif Sarker, Igbafe Orikumhi, Dong Seog Han +1
In this letter, we propose a blockwise phase rotation-aided analog transmit beamforming (BPR-ATB) scheme to improve the spectral efficiency and the bit-error-rate (BER) performance…
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
Sun Hong Lim, Sunwoo Kim, Byonghyo Shim +1
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave (mmWave)communications. Beam tracking is employed for transmitting the known symbols using…
Exploiting Diffuse Multipath in 5G SLAM
Yu Ge, Hyowon Kim, Fuxi Wen +3
5G millimeter wave (mmWave) signals can be used to jointly localize the receiver and map the propagation environment in vehicular networks, which is a typical simultaneous localiza…
Experimental Demonstration of Location-aware Beam Alignment
Junyeol Hong, Hyeonjin Chung, Sunwoo Kim
The main focus of beam alignment is to find the optimal beam which yields the largest received signal strength (RSS) with faster speed.In this paper, we demonstrate an efficient be…
Euclidean Matchings in Ultra-Dense Networks
Alexander P. Kartun-Giles, Suhanya Jayaprakasam, Sunwoo Kim
In order to study the fundamental limits of network densification, we look at the spatial spectral efficiency gain achieved when densely deployed communication devices embedded in…
Meta Distribution of SIR in the Internet of Things Modelled as a Euclidean Matching
Alexander P. Kartun-Giles, Konstantinos Koufos, Sunwoo Kim
The Poisson bipolar model considers user-base station pairs distributed at random on a flat domain, similar to matchsticks scattered onto a table. Though this is a simple and tract…
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion
Hyowon Kim, Karl Granström, Lin Gao +3
5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-…
Adaptive Beamwidth Control for mmWave Beam Tracking
Hyeonjin Chung, Sunwoo Kim
Traditional beam tracking methods have severe performance loss under the high mobility and narrow beam scenario. To alleviate the tracking performance degradation, we propose an ad…
Location-aware Beam Alignment for mmWave Communications
Orikumhi Igbafe, Jeongwan Kang, Henk Wymeersch +1
Beam alignment is required in millimeter wave communication to ensure high data rate transmission. However, with narrow beamwidth in massive MIMO, beam alignment could be computati…
5G mmWave Downlink Vehicular Positioning
Henk Wymeersch, Nil Garcia, Hyowon Kim +4
5G new radio (NR) provides new opportunities for accurate positioning from a single reference station: large bandwidth combined with multiple antennas, at both the base station and…
Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility
Sun Hong Lim, Jisu Bae, Sunwoo Kim +2
In this paper, we propose an efficient beam training technique for millimeter-wave (mmWave) communications. When some mobile users are under high mobility, the beam training should…
Counting k-Hop Paths in the Random Connection Model
Alexander P. Kartun-Giles, Sunwoo Kim
We study, via combinatorial enumeration, the probability of k-hop connection between two nodes in a wireless multi-hop network. This addresses the difficulty of providing an exact…