Analysis of Blockage Sensing by Radars in Random Cellular Networks

Jeonghun Park; Robert W. Heath

doi:10.1109/LSP.2018.2869279

Analysis of Blockage Sensing by Radars in Random Cellular Networks

Jeonghun Park, Robert W. Heath

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

We characterize the detection probability of blockage sensing by radars deployed on towers in cellular networks. If the signal-to-interference ratio of the reflected pilot signal is larger than the predefined threshold and there is no other blockage between the radar and the corresponding blockage, the radar successfully detects the blockage. Modeling radar and blockage locations using stochastic geometry, we derive the detection probability as a function of the system parameters, chiefly the radar and blockage densities. Leveraging the obtained expression, we provide some guidelines for efficiently deploying radars to enhance the detection probability.

Original language	English
Article number	8457255
Pages (from-to)	1620-1624
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	25
Issue number	11
DOIs	https://doi.org/10.1109/LSP.2018.2869279
Publication status	Published - 2018 Nov

Bibliographical note

Funding Information:
This work was supported in part by the National Science Foundation under Grant 1711702 and Grant 1731658, and in part by a gift from the Nokia Foundation

Publisher Copyright:
© 1994-2012 IEEE.

All Science Journal Classification (ASJC) codes

Signal Processing
Applied Mathematics
Electrical and Electronic Engineering

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10.1109/LSP.2018.2869279

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AB - We characterize the detection probability of blockage sensing by radars deployed on towers in cellular networks. If the signal-to-interference ratio of the reflected pilot signal is larger than the predefined threshold and there is no other blockage between the radar and the corresponding blockage, the radar successfully detects the blockage. Modeling radar and blockage locations using stochastic geometry, we derive the detection probability as a function of the system parameters, chiefly the radar and blockage densities. Leveraging the obtained expression, we provide some guidelines for efficiently deploying radars to enhance the detection probability.

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Analysis of Blockage Sensing by Radars in Random Cellular Networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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