Impacts of Blockages on UAV-Enabled Integrated Sensing and Communications

In this paper, we investigate the impacts of block-ages on the performances of the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) systems. Specifically, we first derive the distance distribution between UAV and a typical target in both communication and sensing scenarios, in the presence of three-dimensional blockages. Compared to previous models that either ignored blockage effects or considered only in two-dimensional plane, our model provides a more realistic characterization of random blockages in UAV-enabled ISAC systems. Then, we leverage the tools from stochastic geometry to derive the analytical expressions of the communication coverage probability and successful detection probability in our considered system. Finally, we validate our analysis through numerical results and reveal the interactions between communication and sensing performances, under the impacts of blockages.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10826617
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
1.30

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article

Impacts of Blockages on UAV-Enabled Integrated Sensing and Communications

Chih‐Wen Liu, Mugen Peng, Chenxi Liu, Wenyun Chen
1 citations
UAV Applications and Optimization
1.30
article

Impacts of Blockages on UAV-Enabled Integrated Sensing and Communications

Chih‐Wen Liu, Mugen Peng, Chenxi Liu, Wenyun Chen
article en
1 citations

Abstract

In this paper, we investigate the impacts of block-ages on the performances of the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) systems. Specifically, we first derive the distance distribution between UAV and a typical target in both communication and sensing scenarios, in the presence of three-dimensional blockages. Compared to previous models that either ignored blockage effects or considered only in two-dimensional plane, our model provides a more realistic characterization of random blockages in UAV-enabled ISAC systems. Then, we leverage the tools from stochastic geometry to derive the analytical expressions of the communication coverage probability and successful detection probability in our considered system. Finally, we validate our analysis through numerical results and reveal the interactions between communication and sensing performances, under the impacts of blockages.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Networking and Switching Technology
National Key Research and Development Program of China
Openalex Percentile: Top 11%
UAV Applications and Optimization
1.30
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