Communication and Sensing Coverage of UAV Corridor under Beam Misalignment Error
Abstract
In this paper, a unmanned aerial vehicle (UAV) corridor-assisted network is proposed to study the joint sensing and communication (JCAS) coverage probability (CP) of a terrestrial (BS) equipped with a realistic three-dimensional (3D) 3GPP antenna pattern. By employing the 3D binomial point process (BPP) to model the spatial locations of the UAV-UEs, a fixed number of UAV-UEs are deployed in an aerial corridor modeled as a finite cylinder. The BS exploits radar sensing capabilities to track a known UAV-UE under a 3D beam misalignment error, which follows a multivariate normal distribution. Subsequently, under clutter and uplink communication interference, exact- form analytical expressions for JCAS CP are derived and used to analyze the performance at the terrestrial BS. The results highlight corridor-length saturation at high UAV heights and the beamwidth trade-off between interference suppression and misalignment sensitivity.
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BibTeX
@misc{armeniakos2026communication,
title = {{Communication and Sensing Coverage of UAV Corridor under Beam Misalignment Error}},
author = {Harris K. Armeniakos and Petros S. Bithas and Konstantinos Maliatsos and Christos Masouros and Athanasios G. Kanatas},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.01368},
eprint = {2610.01368},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.01368},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Communication and Sensing Coverage of UAV Corridor under Beam Misalignment Error
AU - Harris K. Armeniakos
AU - Petros S. Bithas
AU - Konstantinos Maliatsos
AU - Christos Masouros
AU - Athanasios G. Kanatas
PY - 2026
DA - 2026/10/01
PB - arXiv
DO - 10.48550/arxiv.2610.01368
UR - https://arxiv.org/abs/2610.01368
AB - In this paper, a unmanned aerial vehicle (UAV) corridor-assisted network is proposed to study the joint sensing and communication (JCAS) coverage probability (CP) of a terrestrial (BS) equipped with a realistic three-dimensional (3D) 3GPP antenna pattern. By employing the 3D binomial point process (BPP) to model the spatial locations of the UAV-UEs, a fixed number of UAV-UEs are deployed in an aerial corridor modeled as a finite cylinder. The BS exploits radar sensing capabilities to track a known UAV-UE under a 3D beam misalignment error, which follows a multivariate normal distribution. Subsequently, under clutter and uplink communication interference, exact- form analytical expressions for JCAS CP are derived and used to analyze the performance at the terrestrial BS. The results highlight corridor-length saturation at high UAV heights and the beamwidth trade-off between interference suppression and misalignment sensitivity.
ER -