Joint Optimization for Covert Communications in UAV-Assisted NOMA Networks
In this paper, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert communications against a flying warden in UAV-assisted non-orthogonal multiple access networks, where the legitimate UAV can simultaneously collect...
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Published in | IEEE transactions on vehicular technology Vol. 73; no. 1; pp. 1 - 15 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | In this paper, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert communications against a flying warden in UAV-assisted non-orthogonal multiple access networks, where the legitimate UAV can simultaneously collect the messages from the multiple ground users in a secure manner. Taking the channel uncertainty into account, we derive the analytical expressions of the optimal normalized detection threshold, the minimum detection error probability (DEP), and the security-guaranteed transmit power constraint for the ground users that are exploited to ensure a high DEP at the warden UAV. Subsequently, the design to maximize the average covert achievable rate (CAR) subject to the constraints of flight speed, initial and final locations, transmit power, and detection performance is formulated as a non-convex optimization problem. To obtain a high-quality solution to the design problem at hand, an iterative block coordinate descent-based successive convex approximation method is proposed. From the theoretical analysis, we find that a greater channel estimation uncertainly or a lower effective received power ratio at the warden UAV is beneficial in enhancing the system covertness towards the warden UAV. Moreover, when the successful detection probability of the warden UAV is sufficiently small, the maximum effective received power ratio is linearly and positively correlated to the detection success probability. Besides, extensive simulations are presented to verify the covert performance advantages brought by the proposed method. |
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AbstractList | In this paper, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert communications against a flying warden in UAV-assisted non-orthogonal multiple access networks, where the legitimate UAV can simultaneously collect the messages from the multiple ground users in a secure manner. Taking the channel uncertainty into account, we derive the analytical expressions of the optimal normalized detection threshold, the minimum detection error probability (DEP), and the security-guaranteed transmit power constraint for the ground users that are exploited to ensure a high DEP at the warden UAV. Subsequently, the design to maximize the average covert achievable rate (CAR) subject to the constraints of flight speed, initial and final locations, transmit power, and detection performance is formulated as a non-convex optimization problem. To obtain a high-quality solution to the design problem at hand, an iterative block coordinate descent-based successive convex approximation method is proposed. From the theoretical analysis, we find that a greater channel estimation uncertainly or a lower effective received power ratio at the warden UAV is beneficial in enhancing the system covertness towards the warden UAV. Moreover, when the successful detection probability of the warden UAV is sufficiently small, the maximum effective received power ratio is linearly and positively correlated to the detection success probability. Besides, extensive simulations are presented to verify the covert performance advantages brought by the proposed method. In this article, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert communications against a flying warden in UAV-assisted non-orthogonal multiple access networks, where the legitimate UAV can simultaneously collect the messages from the multiple ground users in a secure manner. Taking the channel uncertainty into account, we derive the analytical expressions of the optimal normalized detection threshold, the minimum detection error probability (DEP), and the security-guaranteed transmit power constraint for the ground users that are exploited to ensure a high DEP at the warden UAV. Subsequently, the design to maximize the average covert achievable rate (CAR) subject to the constraints of flight speed, initial and final locations, transmit power, and detection performance is formulated as a non-convex optimization problem. To obtain a high-quality solution to the design problem at hand, an iterative block coordinate descent-based successive convex approximation method is proposed. From the theoretical analysis, we find that a greater channel estimation uncertainly or a lower effective received power ratio at the warden UAV is beneficial in enhancing the system covertness towards the warden UAV. Moreover, when the successful detection probability of the warden UAV is sufficiently small, the maximum effective received power ratio is linearly and positively correlated to the detection success probability. Besides, extensive simulations are presented to verify the covert performance advantages brought by the proposed method. |
Author | Dang, Shuping Ng, Derrick Wing Kwan Deng, Dan Li, Xingwang Nallanathan, Arumugam |
Author_xml | – sequence: 1 givenname: Dan orcidid: 0000-0001-7760-5663 surname: Deng fullname: Deng, Dan organization: School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China – sequence: 2 givenname: Shuping orcidid: 0000-0002-0018-815X surname: Dang fullname: Dang, Shuping organization: Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK – sequence: 3 givenname: Xingwang orcidid: 0000-0002-0907-6517 surname: Li fullname: Li, Xingwang organization: School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China – sequence: 4 givenname: Derrick Wing Kwan orcidid: 0000-0001-6400-712X surname: Ng fullname: Ng, Derrick Wing Kwan organization: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia – sequence: 5 givenname: Arumugam orcidid: 0000-0001-8337-5884 surname: Nallanathan fullname: Nallanathan, Arumugam organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK |
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Snippet | In this paper, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert... In this article, we investigate the design of the trajectory of an unmanned aerial vehicle (UAV) and the transmit power of ground users to improve covert... |
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SubjectTerms | Airspeed Automobiles Autonomous aerial vehicles Convexity Covert communications Error detection Jamming joint optimization Mathematical analysis NOMA Nonorthogonal multiple access Optimization Trajectory UAV-assisted communications Unmanned aerial vehicles Uplink |
Title | Joint Optimization for Covert Communications in UAV-Assisted NOMA Networks |
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