UAV Networks Through a Spatial Repulsion Model
| العنوان: | UAV Networks Through a Spatial Repulsion Model |
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| المؤلفون: | Yiqi Chen, Hongtao Zhang |
| المصدر: | IEEE Wireless Communications Letters. 11:101-105 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Computer Science::Robotics, Non-line-of-sight propagation, Signal-to-interference ratio, Laplace transform, Control and Systems Engineering, Computer science, Coverage probability, Electrical and Electronic Engineering, Interference (wave propagation), Topology, Collision, Stochastic geometry, Communication channel |
| الوصف: | In UAV networks, to avoid the collision and strong co-frequency interference caused by UAVs’ high agility and strong LOS links, spatial repulsion exists between UAVs, which has not been modeled in the current work. In this paper, by setting an adjustable repulsion zone for each UAV, a tractable model of UAV networks with spatial repulsion is considered and the impact of repulsion to cell selection and interference partitions under the air-to-ground channel is theoretically characterized, based on which the coverage performance is analyzed via stochastic geometry. Specifically, due to the serving potential of the closer NLOS UAV, cell selection is based on the average signal-to-interference ratio instead of distance, thus the distribution of the distance between serving UAV and the typical user with spatial repulsion needs to rederive. In addition, we obtain more accurate interference Laplace functions by quantifying the irregular LOS/NLOS interference partitioning with the repulsion. The results show that the coverage probability can be improved by 2.2× with repulsion when the signal to interference ratio threshold equals -5dB. |
| تدمد: | 2162-2345 2162-2337 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::f49ff41f011911e79efce8a6a9905e7eTest https://doi.org/10.1109/lwc.2021.3121521Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........f49ff41f011911e79efce8a6a9905e7e |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21622345 21622337 |
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