activity
20162026
most citedA CNN Approach for 5G mmWave Positioning Using Beamformed CSI Measurements

13 citations · 21 across the 24 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.SP2024

Target Handover in Distributed Integrated Sensing and Communication

Yu Ge, Ossi Kaltiokallio, Hui Chen +7

The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed…

eess.SP2024

Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization

Yu Ge, Ossi Kaltiokallio, Yuxuan Xia +6

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…

eess.SP2024

Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance

Roman Klus, Jukka Talvitie, Julia Vinogradova +3

Ensuring smooth mobility management while employing directional beamformed transmissions in 5G millimeter-wave networks calls for robust and accurate user equipment (UE) localizati…

eess.SP2024

Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic

Ahmed Al-Tahmeesschi, Jukka Talvitie, Miguel López-Benítez +2

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. T…

eess.SP2024

Robust Snapshot Radio SLAM

Ossi Kaltiokallio, Elizaveta Rastorgueva-Foi, Jukka Talvitie +3

The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G…