Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33135
Title: Energy-Efficient Covert Communications for UAV-Assisted Backscatter Systems
Authors: Zhou, Y
Al-nahari, A
Jäntti, R
Ma, Z
Fan, P
Keywords: unmanned aerial vehicle (UAV) communications;backscatter communications;covert communications
Issue Date: 29-Jan-2024
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Zhou, Y. et al. (2024) 'Energy-Efficient Covert Communications for UAV-Assisted Backscatter Systems', IEEE Transactions on Vehicular Technology, 73 (6), pp. 9147–9152. doi: 10.1109/tvt.2024.3359182.
Abstract: In this paper, we propose an energy-efficient covert communication framework for unmanned aerial vehicle (UAV)-assisted backscatter systems, where one UAV is deployed to collect data from one ground backscatter device (BD), in the presence of a warden who is trying to detect whether BD is transmitting or not. We first analyze the false alarm probability (FAP) and miss detection probability (MDP) for the covert communication and investigate the detection error probability by considering the location and channel uncertainty of warden. Then, aimed at maximizing the energy efficiency (EE) of our proposed system subject to reliability and covertness constraints, we optimize the UAV transmit power and hovering point jointly and design a low-complexity solution based on alternating optimization (AO), Dinkelbach method and successive convex approximation (SCA) solutions. Finally, simulation results are provided to verify the effectiveness of our proposed algorithm and highlight the fundamental trade-off between the EE and covertness constraint.
URI: https://bura.brunel.ac.uk/handle/2438/33135
DOI: https://doi.org/10.1109/tvt.2024.3359182
ISSN: 0018-9545
Other Identifiers: ORCiD: Yi Zhou https://orcid.org/0000-0001-6407-068X
ORCiD: Azzam Al-nahari https://orcid.org/0000-0001-7846-2377
ORCiD: Riku Jäntti https://orcid.org/0000-0002-5398-2381
ORCiD: Zheng Ma https://orcid.org/0000-0003-1683-4299
ORCiD: Pingzhi Fan https://orcid.org/0000-0002-8281-6251
Appears in Collections:Department of Computer Science Research Papers

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