Learning Human-Blockage Direction Prediction from Indoor mmWave Radio Measurements
Author:
Affiliation:
1. University of Oulu,Center for Machine Vision and Signal Analysis (CMVS),Oulu,Finland,FI-90014
2. University of Oulu,Center for Wireless Communications (CWC),Oulu,Finland,FI-90014
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10283478/10283479/10283569.pdf?arnumber=10283569
Reference19 articles.
1. A Survey on the Effects of Human Blockage on the Performance of mm Wave Communication Systems
2. Modeling Human Blockage at 5G Millimeter-Wave Frequencies
3. Linearly Polarized 64-element Antenna Array for mm-Wave Mobile Backhaul Application
4. System EVM Characterization and Coverage Area Estimation of 5G Directive mmW Links
5. Measurements and modeling of human blockage effects for multiple millimeter Wave bands
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Static Human Position Classification from Indoor mmWave Radio RSSI Measurements;2024 IEEE 4th International Symposium on Joint Communications & Sensing (JC&S);2024-03-19
2. Computer Vision Enabled Sub-THz Radio Channel Characterization of Dynamic Objects;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17
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