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Abstract
Existence of the line-of-sight (LoS) in a radio link is an important feature determining radio link and localization performance. This study explores relationship between multidimensional nature of radio channel properties such as delay and angular spreads and link pathloss with the LoS existence along with the relative antenna geometry of the two communicating devices in an attempt to predict the LoS existence. A nonlinear classification method of the decision tree is trained by extensive wideband double-directional channel sounding data in a microcellular environment. It was found that the BS-MS link distance and link pathloss were most influential features in predicting the LOS existence. While the use of less influential features of delay and angular spreads led to 75 % accuracy due to not being able to find the exact pattern across different MS routes. We thereby demonstrate the usefulness of incorporating geometrical knowledge of the link to predict the LoS state, despite not using a map of the cellular site, in addition to using channel parameters.
Original language | English |
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Title of host publication | 17th European Conference on Antennas and Propagation, EuCAP 2023 |
Publisher | IEEE |
ISBN (Print) | 978-1-6654-7541-9 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Conference publication |
Event | European Conference on Antennas and Propagation - Florence, Italy, Florence, Italy Duration: 26 Mar 2023 → 31 Mar 2023 Conference number: 17 https://www.eucap2023.org/ |
Conference
Conference | European Conference on Antennas and Propagation |
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Abbreviated title | EuCAP |
Country/Territory | Italy |
City | Florence |
Period | 26/03/2023 → 31/03/2023 |
Internet address |
Fingerprint
Dive into the research topics of 'Predicting the Line-of-Sight Existence Using Radio Channel Properties and Relative Antenna Locations'. Together they form a unique fingerprint.Projects
- 2 Finished
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AKA-NSF-Haneda: Impact of user, environment, and artificial surfaces on above-100 GHz wireless communications
Haneda, K. (Principal investigator)
01/01/2022 → 31/12/2024
Project: RCF Academy Project targeted call
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ARtificial Intelligence Aided D-band Network for 5G long term Evolution
Tretiakov, S. (Principal investigator)
01/01/2020 → 31/10/2022
Project: EU H2020 Framework program