Energy-Efficient Resource Allocation for Secure UAV Communication Systems

Cai, Yuanxin; Wei, Zhiqiang; Li, Ruide; Ng, Derrick Wing Kwan; Yuan, Jinhong

doi:10.1109/wcnc.2019.8885416

Cited by 44 publications

(30 citation statements)

References 26 publications

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“…In our simulations, we compare the system energy efficiency of the proposed algorithm "PA", with the other three baseline schemes: (a) No jammer UAV (NJ), which has only an information UAV in this scheme. The suboptimal resource allocation and UAV's trajectory for "NJ" can be obtained by using a similar approach as in our previous work [1]. (b) Single-antenna jammer UAV (SAJ), in which both the information UAV and jammer UAV are all equipped with a single-antenna to provide secure communication.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Since "SLI" is another subcase of the problem formulation for "PA", the suboptimal solution can be obtained by optimizing resource allocation with fixing the information UAV's trajectory. Since the initial information-UAV trajectory will affect the performance of the proposed suboptimal solution, we have tried different reasonable trajectories as an initial point, e.g., (1) Straight forward flight from the initial point to the destination (SFF); (2) A path passing through all users' location once;…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Besides, a robust trajectory and resource allocation design for energy-efficient secure UAV communication systems considering the uncertainty of eavesdropper's location has not been investigated. Furthermore, although deploying a single UAV in the system was demonstrated to offer some advantages for wireless communications [1], [24], the performance of single UAV communication systems can be unsatisfactory due to the stringent requirement on secure communication. Thus, with the assistance of a jammer UAV, the authors in [25], [26], [27] proposed a cooperative jamming scheme for secure UAV communications by jointly optimizing power allocation and trajectories.…”

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confidence: 99%

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Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systems

Cai

Wei

et al. 2020

IEEE Trans. Commun.

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125

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In this paper, we study the trajectory and resource allocation design for downlink energy-efficient secure unmanned aerial vehicle (UAV) communication systems, where an information UAV assisted by a multi-antenna jammer UAV serves multiple ground users in the existence of multiple ground eavesdroppers. The resource allocation strategy and the trajectory of the information UAV, and the jamming policy of the jammer UAV are jointly optimized for maximizing the system energy efficiency. The joint design is formulated as a non-convex optimization problem taking into account the quality of service (QoS) requirement, the security constraint, and the imperfect channel state information (CSI) of the eavesdroppers. The formulated problem is generally intractable. As a compromise approach, the problem is divided into two subproblems which facilitates the design of a low-complexity suboptimal algorithm based on alternating optimization approach. Simulation results illustrate that the proposed algorithm converges within a small number of iterations and demonstrate some interesting insights: (1) the introduction of a jammer UAV facilitates a highly flexible trajectory design of the information UAV which is critical to improving the system energy efficiency; (2) by exploiting the spatial degrees of freedom brought by the multi-antenna jammer UAV, our proposed design can focus the artificial noise on eavesdroppers offering a strong security mean to the system.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systems

Cai

Wei

et al. 2020

IEEE Trans. Commun.

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214

125

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“…In our simulation, we compare the performance of the proposed algorithm, denoted as PA with the other two baseline schemes: a) No jammer (NJ), which all UAVs serve as information UAV and do not transmit artificial noise to eavesdroppers [14]- [16]. Since the problem for PA subsumes the NJ scheme as a subcase, the average minimum secrecy rate per user in NJ can be achieved by solving subproblem 1 and subproblem 3 with the settings of jamming power as zero.…”

Section: Overall Algorithmmentioning

confidence: 99%

Resource Allocation for Secure Multi-UAV Communication Systems With Multi-Eavesdropper

Wei

Yang

et al. 2020

IEEE Trans. Commun.

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In this paper, we study the resource allocation and trajectory design for secure unmanned aerial vehicle (UAV)-enabled communication systems, where multiple multi-purpose UAV base stations are dispatched to provide secure communications to multiple legitimate ground users (GUs) in the existence of multiple eavesdroppers (Eves). Specifically, by leveraging orthogonal frequency division multiple access (OFDMA), active UAV base stations can communicate to their desired ground users via the assigned subcarriers while idle UAV base stations can serve as jammer simultaneously for communication security provisioning. To achieve fairness in secure communication, we maximize the average minimum secrecy rate per user by jointly optimizing the communication/jamming subcarrier allocation policy and the trajectory of UAVs, while taking into account the constraints on the minimum safety distance among multiple UAVs, the maximum cruising speed, the initial/final locations, and the existence of cylindrical no-fly zones (NFZs). The design is formulated as a mixed integer non-convex optimization problem which is generally intractable. Subsequently, a computationally-efficient iterative algorithm is proposed to obtain a suboptimal solution. Simulation results illustrate that the performance of the proposed iterative algorithm can significantly improve the average minimum secrecy rate compared to various baseline schemes. R. Li and J. An are with the secure UAV communication systems with a single-UAV was studied in [8], [14]-[16] with different system settings. However, due to the stringent requirements on UAV's size, weight, and power (SWAP), the performance achieved by deploying a single-UAV is still limited [6]. To achieve a higher efficiency in secure communications, multi-UAV cooperation was adopted in [17]-[20]. In particular, a jammer UAV can fly close to a potential eavesdropper based on demand by leveraging its mobility and opportunistically transmits artificial noise signal deliberately to combat the eavesdropping channels [17]. To improve the system security performance, [18] and [19] presented a cooperative jamming approach to safeguard the UAV's communication by exploiting artificial jamming transmission from other friend UAVs in the existence of a single-eavesdropper. With the consideration of fairness in two-UAV secure communications, [20] investigated the joint power allocation and trajectory design for the maximization of the minimum secrecy rate per user when one UAV is dispatched to convey confidential messages to a ground user where another cooperative UAV transmits a jamming signal. However, in [17]-[20], the role of the UAV is fixed where a communication/jamming UAV can only provide either communication/jamming signal during the whole time horizon.In contrast, a multi-purpose UAV, which can dynamically serve as a communication UAV or a jamming UAV, provides a high flexibility in trajectory design for secure UAV communications. March 17, 2020 DRAFT 3 For instance, when a communication UAV flies closer to an eave...

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“…In [16], the authors have studied PLS of a UAV-enabled mobile relaying scheme over non-fading AG channels, and showed that moving buffer-aided relay provides significant performance over static relaying in terms of secrecy rate. In [17], the authors studied the resource allocation and path-planning problem for energy-efficient secure transmission from a UAV base station to multiple users in the presence of a passive ground eavesdropper. In [18], employing UAV as a friendly jammer to enhance PLS of a ground-relaying based communication has been studied.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of Low-Altitude UAV-Enabled Secure AF Relaying With Cooperative Jamming and SWIPT

Mamaghani

Hong

2019

IEEE Access

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This paper proposes a novel cooperative secure unmanned aerial vehicle (UAV) aided transmission protocol, where a source (Alice) sends confidential information to a destination (Bob) via an energy-constrained UAV-mounted amplifyand-forward (AF) relay in the presence of a ground eavesdropper (Eve). We adopt destination-assisted cooperative jamming (CJ) as well as simultaneous wireless information and power transfer (SWIPT) at the UAV-mounted relay to enhance physical-layer security (PLS) and transmission reliability. Assuming a low altitude UAV, we derive connection probability (CP), secrecy outage probability (SOP), instantaneous secrecy rate, and average secrecy rate (ASR) of the proposed protocol over Air-Ground (AG) channels, which are modeled as Rician fading with elevation-angel dependent parameters. By simulations, we verify our theoretical results and demonstrate significant performance improvement of our protocol, when compared to conventional transmission protocol with ground relaying and UAV-based transmission protocol without destination-assisted jamming. Finally, we evaluate the impacts of different system parameters and different UAV's locations on the proposed protocol in terms of ASR.Index Terms-UAV relaying, wireless information and power transfer, physical layer security, jamming.

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Energy-Efficient Resource Allocation for Secure UAV Communication Systems

Cited by 44 publications

References 26 publications

Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systems

Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systems

Resource Allocation for Secure Multi-UAV Communication Systems With Multi-Eavesdropper

On the Performance of Low-Altitude UAV-Enabled Secure AF Relaying With Cooperative Jamming and SWIPT

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