activity
20172022
most cited6G White Paper on Localization and Sensing

158 citations · 601 across the 63 of their papers we have counts for

collaborators

94 papers

eess.SP2022

Joint RIS Calibration and Multi-User Positioning

Yi Lu, Hui Chen, Jukka Talvitie +2

Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform. In most…

eess.SP20222 cited

3D Localization with a Single Partially-Connected Receiving RIS: Positioning Error Analysis and Algorithmic Design

Jiguang He, Aymen Fakhreddine, Charles Vanwynsberghe +2

In this paper, we introduce the concept of partially-connected Receiving Reconfigurable Intelligent Surfaces (R-RISs), which refers to metasurfaces designed to efficiently sense el…

eess.SP2022

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…

eess.SP2022

On the Impact of Phase Noise on Monostatic Sensing in OFDM ISAC Systems

Musa Furkan Keskin, Carina Marcus, Olof Eriksson +2

Phase noise (PN) can become a major bottleneck for integrated sensing and communications (ISAC) systems towards 6G wireless networks. In this paper, we consider an OFDM ISAC system…

eess.SP202293 cited

RIS-Enabled SISO Localization under User Mobility and Spatial-Wideband Effects

Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados +2

Reconfigurable intelligent surface (RIS) is a promising technological enabler for the 6th generation (6G) of wireless systems with applications in localization and communication. I…

eess.SP2022

Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study

Liqin Ding, Gonzalo Seco-Granados, Hyowon Kim +4

Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian…