IEICE TRANSACTIONS on Communications
Model of the LOS Probability for the UAV Channel and Its Application for Environment Awareness
Summary :
Currently, unmanned aerial vehicles (UAV) have been widely used in many applications, such as in transportation logistics, public safety, or even in non-terrestrial networks (NTN). In all these scenarios, it is an important issue to model channel behavior between the UAV and the user equipment (UE) on the ground. Among these channel features, a critical parameter that dominates channel behavior is the probability of the line-of-sight (LOS), since the statistical property of the channel fading can be either Ricean or Rayleigh, depending on the existence of LOS. Besides, with knowledge of LOS probability, operators can design approaches or schemes to maximum system performance, such as the serving coverage, received signal to noise ratio (SNR), or the bit error rate (BER) with the limited transmitted power. However, the LOS UAV channel is likely difficult to acquire or derive, as it depends on the deployment scenario, such as an urban or rural area. In this paper, we generated four different scenarios defined by the ITU via the ray tracing simulator. Then, we used the spatial geometric relation and the curve fitting approach to derive the analytic models to predict the probability of the UAV LOS channels for different scenarios. Results show that our proposed relationships yield better prediction results than the methods in the literature. Besides, an example of establishing UAV self-awareness ability for the deployed environment via using proposed models is also provided in this paper.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.8 pp.975-980
- Publication Date
- 2022/08/01
- Publicized
- 2022/02/01
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3159
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Chi-Min LI
National Taiwan Ocean University
Yu-Hsuan LEE
National Taiwan Ocean University
Yi-Ting LIAO
National Taiwan Ocean University
Pao-Jen WANG
Ming Chi University of Technology
Keyword
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Chi-Min LI, Yu-Hsuan LEE, Yi-Ting LIAO, Pao-Jen WANG, "Model of the LOS Probability for the UAV Channel and Its Application for Environment Awareness" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 8, pp. 975-980, August 2022, doi: 10.1587/transcom.2021EBP3159.
Abstract: Currently, unmanned aerial vehicles (UAV) have been widely used in many applications, such as in transportation logistics, public safety, or even in non-terrestrial networks (NTN). In all these scenarios, it is an important issue to model channel behavior between the UAV and the user equipment (UE) on the ground. Among these channel features, a critical parameter that dominates channel behavior is the probability of the line-of-sight (LOS), since the statistical property of the channel fading can be either Ricean or Rayleigh, depending on the existence of LOS. Besides, with knowledge of LOS probability, operators can design approaches or schemes to maximum system performance, such as the serving coverage, received signal to noise ratio (SNR), or the bit error rate (BER) with the limited transmitted power. However, the LOS UAV channel is likely difficult to acquire or derive, as it depends on the deployment scenario, such as an urban or rural area. In this paper, we generated four different scenarios defined by the ITU via the ray tracing simulator. Then, we used the spatial geometric relation and the curve fitting approach to derive the analytic models to predict the probability of the UAV LOS channels for different scenarios. Results show that our proposed relationships yield better prediction results than the methods in the literature. Besides, an example of establishing UAV self-awareness ability for the deployed environment via using proposed models is also provided in this paper.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3159/_p
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@ARTICLE{e105-b_8_975,
author={Chi-Min LI, Yu-Hsuan LEE, Yi-Ting LIAO, Pao-Jen WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Model of the LOS Probability for the UAV Channel and Its Application for Environment Awareness},
year={2022},
volume={E105-B},
number={8},
pages={975-980},
abstract={Currently, unmanned aerial vehicles (UAV) have been widely used in many applications, such as in transportation logistics, public safety, or even in non-terrestrial networks (NTN). In all these scenarios, it is an important issue to model channel behavior between the UAV and the user equipment (UE) on the ground. Among these channel features, a critical parameter that dominates channel behavior is the probability of the line-of-sight (LOS), since the statistical property of the channel fading can be either Ricean or Rayleigh, depending on the existence of LOS. Besides, with knowledge of LOS probability, operators can design approaches or schemes to maximum system performance, such as the serving coverage, received signal to noise ratio (SNR), or the bit error rate (BER) with the limited transmitted power. However, the LOS UAV channel is likely difficult to acquire or derive, as it depends on the deployment scenario, such as an urban or rural area. In this paper, we generated four different scenarios defined by the ITU via the ray tracing simulator. Then, we used the spatial geometric relation and the curve fitting approach to derive the analytic models to predict the probability of the UAV LOS channels for different scenarios. Results show that our proposed relationships yield better prediction results than the methods in the literature. Besides, an example of establishing UAV self-awareness ability for the deployed environment via using proposed models is also provided in this paper.},
keywords={},
doi={10.1587/transcom.2021EBP3159},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Model of the LOS Probability for the UAV Channel and Its Application for Environment Awareness
T2 - IEICE TRANSACTIONS on Communications
SP - 975
EP - 980
AU - Chi-Min LI
AU - Yu-Hsuan LEE
AU - Yi-Ting LIAO
AU - Pao-Jen WANG
PY - 2022
DO - 10.1587/transcom.2021EBP3159
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2022
AB - Currently, unmanned aerial vehicles (UAV) have been widely used in many applications, such as in transportation logistics, public safety, or even in non-terrestrial networks (NTN). In all these scenarios, it is an important issue to model channel behavior between the UAV and the user equipment (UE) on the ground. Among these channel features, a critical parameter that dominates channel behavior is the probability of the line-of-sight (LOS), since the statistical property of the channel fading can be either Ricean or Rayleigh, depending on the existence of LOS. Besides, with knowledge of LOS probability, operators can design approaches or schemes to maximum system performance, such as the serving coverage, received signal to noise ratio (SNR), or the bit error rate (BER) with the limited transmitted power. However, the LOS UAV channel is likely difficult to acquire or derive, as it depends on the deployment scenario, such as an urban or rural area. In this paper, we generated four different scenarios defined by the ITU via the ray tracing simulator. Then, we used the spatial geometric relation and the curve fitting approach to derive the analytic models to predict the probability of the UAV LOS channels for different scenarios. Results show that our proposed relationships yield better prediction results than the methods in the literature. Besides, an example of establishing UAV self-awareness ability for the deployed environment via using proposed models is also provided in this paper.
ER -
English
