arXiv · 2610.16342
Analysis of Integrated Communication and Sensing in Cylindrical Aerial Corridors
Abstract
In unmanned aerial vehicle (UAV) networks, integrated communication and sensing (ISAC) is emerging as a key enabler to support extended and continuous communication and sensing capabilities for sixth-generation (6G) services among UAVs operating in swarms. In this paper, a comprehensive framework is presented to investigate the ISAC coverage probability of a reference UAV-base station (BS) in a UAV network. A fixed number of UAV user equipment (UAVUEs) and UAV-BSs are deployed in an aerial corridor modeled as a finite cylinder. The three-dimensional (3D) binomial point process (BPP) is used to model both the 3D spatial locations of the UAV-UEs and the UAV-BSs. By adopting realistic 3D third generation partnership project (3GPP) antenna patterns for both the UAV-UEs and UAV-BSs, the UAVs' boresight direction of the maximum antenna gain is modeled as a random unit vector. All UAV-BSs have sensing capabilities, so an arbitrary yet fixed reference UAV-BS acts as a monostatic radar to acquire sensing measurements associated with a target UAV-UE at a given time snapshot while the target UAVUE communicates with the reference UAV-BS. Consequently, considering both clutter and communication interference, exact analytical expressions for ISAC coverage probability are derived. Low complexity baseline analytical expressions are also derived by ignoring clutter interference and directional characteristics of the UAV-UEs. Finally, motivated by the vision for intelligent UAV networks, a DeepSets-based model is developed and trained to estimate the optimal location of the reference UAV-BS that maximizes ISAC performance given a spatial deployment of the UAVs. To the best of our knowledge, this is the first work to rigorously investigate ISAC performance in UAV networks while incorporating the directionality characteristics of the UAV antennas.
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Harris K. Armeniakos, Petros S. Bithas, Athanasios G. Kanatas, Harpreet S. Dhillon. 2026-10-12. Analysis of Integrated Communication and Sensing in Cylindrical Aerial Corridors. https://arxiv.org/abs/2610.16342
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