Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking

Authors

Institutions

Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2024-08-19
DOI
https://doi.org/10.1109/jsac.2024.3413950
Citations
14
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
2.92

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking

Monica Nicoli, Girim Kwon, Bernardo Camajori Tedeschini, Moe Z. Win
14 citations
IEEE Journal on Selected Areas in Communications
Indoor and Outdoor Localization Technologies
2.92
article

Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking

Monica Nicoli, Girim Kwon, Bernardo Camajori Tedeschini, Moe Z. Win
article en
14 citations

Abstract

No abstract available for this paper.
IEEE Journal on Selected Areas in CommunicationsVol. 42(9)
Decision Systems (United States) (US), Massachusetts Institute of Technology (US), Politecnico di Milano (IT)
National Research Foundation of Korea
Openalex Percentile: Top 9%
Indoor and Outdoor Localization Technologies
2.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.