Static Human Position Classification from Indoor mmWave Radio RSSI Measurements-Reference-Cited by-同舟云学术

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Static Human Position Classification from Indoor mmWave Radio RSSI Measurements

Published:2024-03-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 4th International Symposium on Joint Communications & Sensing (JC&S)
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Author:

Zampato Silvia¹,Susarlal Praneeth²,Jokinen Markku³,Tervo Nuutti³,Leinonen Marko E.³,López Miguel Bordallo¹,Juntti Markku³,Rossi Michele¹,Silvén Olli²

Affiliation:

1. University of Padova,Department of Information Engineering (DEI),Padova,Italy,IT-35131

2. University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Oulu,Finland,FI-90014

3. University of Oulu,Center for Wireless Communications (CWC),Oulu,Finland,FI-90014

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10646184/10646191/10646323.pdf?arnumber=10646323

Reference17 articles.

1. Several Key Technologies for 6G: Challenges and Opportunities

2. Five Facets of 6G: Research Challenges and Opportunities

3. Toward 6G Networks: Use Cases and Technologies

4. Indoor Localization With a Single Wi-Fi Access Point Based on OFDM-MIMO

5. The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing

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