Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Talvitie, Jukka"'
Autor:
Ge, Yu, Kaltiokallio, Ossi, Xia, Yuxuan, García-Fernández, Ángel F., Kim, Hyowon, Talvitie, Jukka, Valkama, Mikko, Wymeersch, Henk, Svensson, Lennart
Simultaneous localization and mapping (SLAM) methods need to both solve the data association (DA) problem and the joint estimation of the sensor trajectory and the map, conditioned on a DA. In this paper, we propose a novel integrated approach to sol
Externí odkaz:
http://arxiv.org/abs/2407.11643
Autor:
Klus, Roman, Talvitie, Jukka, Vinogradova, Julia, Fodor, Gabor, Torsner, Johan, Valkama, Mikko
Ensuring smooth mobility management while employing directional beamformed transmissions in 5G millimeter-wave networks calls for robust and accurate user equipment (UE) localization and tracking. In this article, we develop neural network-based posi
Externí odkaz:
http://arxiv.org/abs/2406.16519
Autor:
Al-Tahmeesschi, Ahmed, Talvitie, Jukka, López-Benítez, Miguel, Ahmadi, Hamed, Ruotsalainen, Laura
Millimeter-wave (mmWave) is a key enabler for next-generation transportation systems. However, in an urban city scenario, mmWave is highly susceptible to blockages and shadowing. Therefore, base station (BS) placement is a crucial task in the infrast
Externí odkaz:
http://arxiv.org/abs/2404.14954
Autor:
Kaltiokallio, Ossi, Rastorgueva-Foi, Elizaveta, Talvitie, Jukka, Ge, Yu, Wymeersch, Henk, Valkama, Mikko
The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G and beyond networks. However, estimated channel parameters that are m
Externí odkaz:
http://arxiv.org/abs/2404.10291
Autor:
Rastorgueva-Foi, Elizaveta, Kaltiokallio, Ossi, Ge, Yu, Turunen, Matias, Talvitie, Jukka, Tan, Bo, Keskin, Musa Furkan, Wymeersch, Henk, Valkama, Mikko
In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on end-to-end processing solutions, from raw I/Q samples, via channel parameter estimation to user equipment (UE) and l
Externí odkaz:
http://arxiv.org/abs/2312.13741
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 of the research works so far, RIS has been treated as a passive base
Externí odkaz:
http://arxiv.org/abs/2212.04258
Autor:
Ge, Yu, Kaltiokallio, Ossi, Kim, Hyowon, Talvitie, Jukka, Kim, Sunwoo, Svensson, Lennart, Valkama, Mikko, Wymeersch, Henk
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 communication quality with reduced overheads. These forms of sensing are howeve
Externí odkaz:
http://arxiv.org/abs/2211.16024
Autor:
Ge, Yu, Kaltiokallio, Ossi, Chen, Hui, Jiang, Fan, Talvitie, Jukka, Valkama, Mikko, Svensson, Lennart, Wymeersch, Henk
Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous l
Externí odkaz:
http://arxiv.org/abs/2208.10204
The advent of Artificial Intelligence (AI) has impacted all aspects of human life. One of the concrete examples of AI impact is visible in radio positioning. In this article, for the first time we utilize the power of AI by training a Convolutional N
Externí odkaz:
http://arxiv.org/abs/2205.03236
Autor:
Ge, Yu, Wu, Yibo, Jiang, Fan, Kaltiokallio, Ossi, Talvitie, Jukka, Valkama, Mikko, Svensson, Lennart, Wymeersch, Henk
5G millimeter wave (mmWave) signals have inherent geometric connections to the propagation channel and the propagation environment. Thus, they can be used to jointly localize the receiver and map the propagation environment, which is termed as simult
Externí odkaz:
http://arxiv.org/abs/2112.02575