Graph learning and augmentation based interpolation of signal strength for location-aware communications

HM Chiu, CC Fung, A Ortega - 2020 28th European Signal …, 2021 - ieeexplore.ieee.org
A graph learning and augmentation (GLA) technique is proposed herein to solve the
received signal power interpolation problem, which is important for preemptive resource …

Propagation-aware Gaussian process regression for signal-strength interpolation along street canyons

L Eller, P Svoboda, M Rupp - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
Providing accurate estimates for Key Performance Indicators (KPIs) of mobile cellular
networks is crucial to fulfill agreed-upon service requirements. Typically, such performance …

Mobile positioning based on TAE-GRU

C Guo, L Wu, C Shi, CH Chen - Companion Proceedings of the Web …, 2021 - dl.acm.org
This paper motivates to solve the multiple mapping of Received Signal Strength Indications
(RSSIs) and location estimating problem in mobile positioning. A mobile positioning method …

Wi-Fi radio map interpolation with sparse and correlated received signal strength measurements for indoor positioning

A Kiring, HT Yew, YY Farm, SK Chung… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
Wi-Fi based positioning fingerprint offers an accurate solution for indoor positioning
techniques. It estimates the coordinates of a user or object by consulting an offline Wi-Fi …

Positioning based on noise-limited censored path loss data

A Karttunen, M Valkama… - … Conference on Localization …, 2020 - ieeexplore.ieee.org
Positioning is considered one of the most important features and enabler of various novel
industry verticals in future radio systems. Since path loss or received signal strength-based …

Enabling Light-Weight AI-Based Positioning by Log Signature Transform of Wireless Channels

L Zhao, Y Yang, Q Xiong, H Wang… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The conflict between increasing demands for high accuracy positioning information and
poor performance of conventional schemes in non-line-of-sight (NLOS) scenarios motivates …

Autoencoder Matrix Completion Based Indoor Localization

I Ahriz, M Terre, W Njima - 2020 54th Asilomar Conference on …, 2020 - ieeexplore.ieee.org
The widespread of mobile devices facilitated the of many new applications that provide
services based on user's location. Several techniques have been presented to enable such …

RAIK: Regional analysis with geodata and crowdsourcing to infer key performance indicators

R Enami, D Rajan, J Camp - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Key Performance Indicators (KPIs) are important measures of the quality of service in
cellular networks. There are multiple efforts by cellular carriers and 5G standardization to …

SICNN: Spatial interpolation with convolutional neural networks for radio environment mapping

R Hashimoto, K Suto - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
This paper addresses the spatial interpolation problem in measurement-based radio
environment estimation. For accurate interpolation, we need to extract global and local radio …

Downloadable machine learning for compressed radiolocation applications in radio access networks

H Rydén, R Moosavi - 2020 IEEE Globecom Workshops (GC …, 2020 - ieeexplore.ieee.org
Machine learning (ML) is an important tool for enabling automation in radio access
networks. Multiple ML-based applications utilize the device radio-fingerprint, for example to …