Aerial ISAC: A HAPS-Assisted Integrated Sensing, Communications and Computing Framework for Enhanced Coverage and Security

In this paper, we propose a framework for a non-terrestrial ISAC system, where a high-altitude platform station (HAPS)-mounted full duplex (FD) ISAC base station (BS) is deployed to deliver communication services to multiple user equipment (UEs) and, at the same time, sense multiple targets. Moreover, the ISAC-BS offloads part of the sensed data to a dedicated edge server for computation purposes. Additionally, an autonomous aerial vehicle (AAV) is deployed to transmit jamming signals aimed at degrading the reception quality of malicious targets or potential eavesdroppers identified through the sensing process. A multi-objective optimization problem is formulated to jointly optimize the transmit/receive beamforming and AAV trajectory to maximize the communication sum spectral efficiency under radar performance, security, offloading, and power constraints. Since the formulated problem is non-convex, we use alternating optimization (AO), semi-definite relaxation (SDR), and successive convex approximation (SCA) approaches to solve it. Simulation results show that the communication and radar achieved rates from the proposed algorithm outperforms the cases of using non-optimized AAV’s trajectory and using the Rayleigh-quotient method to design the receive beamforming vectors.

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Publication Details

Journal
IEEE Transactions on Green Communications and Networking
Published
2025-03-14
DOI
https://doi.org/10.1109/tgcn.2025.3551395
Citations
13
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
64.92
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article

Aerial ISAC: A HAPS-Assisted Integrated Sensing, Communications and Computing Framework for Enhanced Coverage and Security

Taha Landolsi, Mahmoud H. Ismail, Ahmed M. Benaya, Mohamed S. Hassan
13 citations
IEEE Transactions on Green Communications and Networking
Radar Systems and Signal Processing
64.92
article

Aerial ISAC: A HAPS-Assisted Integrated Sensing, Communications and Computing Framework for Enhanced Coverage and Security

Taha Landolsi, Mahmoud H. Ismail, Ahmed M. Benaya, Mohamed S. Hassan
article en
13 citations

Abstract

In this paper, we propose a framework for a non-terrestrial ISAC system, where a high-altitude platform station (HAPS)-mounted full duplex (FD) ISAC base station (BS) is deployed to deliver communication services to multiple user equipment (UEs) and, at the same time, sense multiple targets. Moreover, the ISAC-BS offloads part of the sensed data to a dedicated edge server for computation purposes. Additionally, an autonomous aerial vehicle (AAV) is deployed to transmit jamming signals aimed at degrading the reception quality of malicious targets or potential eavesdroppers identified through the sensing process. A multi-objective optimization problem is formulated to jointly optimize the transmit/receive beamforming and AAV trajectory to maximize the communication sum spectral efficiency under radar performance, security, offloading, and power constraints. Since the formulated problem is non-convex, we use alternating optimization (AO), semi-definite relaxation (SDR), and successive convex approximation (SCA) approaches to solve it. Simulation results show that the communication and radar achieved rates from the proposed algorithm outperforms the cases of using non-optimized AAV’s trajectory and using the Rayleigh-quotient method to design the receive beamforming vectors.

IEEE Transactions on Green Communications and NetworkingVol. 9(4)
American University of Sharjah (AE)
Openalex Percentile: Top 0%
Radar Systems and Signal Processing
64.92
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