NLoS Detection for Enhanced 5G mmWave-based Positioning for Vehicular IoT Applications
Author:
Affiliation:
1. Queen's University,Department of Electrical and Computer Engineering,Kingston,ON,Canada
2. Micro Engineering Tech. Inc.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001643.pdf?arnumber=10001643
Reference14 articles.
1. Positioning in 5G Networks
2. 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice
3. A Robust Localization Algorithm Based on NLOS Identification and Classification Filtering for Wireless Sensor Network
4. Performance of NLOS Base Station Exclusion in cmWave 5G Positioning
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2. Localization and Tracking using ODE-LSTM Algorithm with Non-Line-of-Sight Channels;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21
3. Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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