Auction-Based Time Scheduling for Backscatter-Aided RF-Powered Cognitive Radio Networks

Gao, Xiaozheng; Wang, Ping; Niyato, Dusit; Yang, Kai; An, Jianping

doi:10.1109/twc.2019.2895340

Cited by 114 publications

(43 citation statements)

References 38 publications

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“…From simulations, we have shown that our proposed algorithm is very close to the optimal counterpart and outperforms equal power allocation, highlighting the necessity of optimal power allocation. It is important to note that the proposed scheme in this paper can also be applied to some specified networks, such as satellite communications where the satellite acts as the relay, multiple relay networks [28], cognitive radio networks [29], and 5G networks [30] [31]. The specific issue of signal synchronization should be addressed when using this method for satellite communications applications.…”

Section: Resultsmentioning

confidence: 99%

Improving Physical-Layer Security for Full-duplex Radio aided Two-Way Relay Networks

2020

KSII TIIS

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The power allocation optimization problem is investigated for improving the physical-layer security in two-way relaying networks, where a full-duplex relay based half-jamming protocol (HJP-FDR) is considered. Specially, by introducing a power splitter factor, HJP-FDR divides the relay's power into two parts: one for forwarding the sources' signals, the other for jamming. An optimization problem for power split factor is first developed, which is proved to be concave and closed-form solution is achieved. Moreover, we formulate a power allocation problem to determine the sources' power subject to the total power constraint. Applying the achieved closed-form solutions to the above-mentioned problems, a two-stage strategy is proposed to implement the overall power allocation. Simulation results highlight the effectiveness of our proposed algorithm and indicate the necessity of optimal power allocation.

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Section: Resultsmentioning

confidence: 99%

Improving Physical-Layer Security for Full-duplex Radio aided Two-Way Relay Networks

2020

KSII TIIS

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“…Optimizing jammer UAV's trajectory is an interesting but challenging work and will be considered in our future study. 3 We note that since the channel between the UAV and the ground terminals are LoS dominated [22], [23], [26], the UAVs would fly at the lowest allowable flight altitude to obtain a higher channel gain for maximizing the system energy efficiency. Thus, we consider a fixed UAVs' flight altitude of H = 100 m. 4 Based on field measurements [28], [29], the air-to-ground links between the UAVs and the ground terminals are LoS channels in rural areas when the flight altitude of a UAV is 100 meters and the length of side of the service area is 500 meters.…”

Section: B Signal Modelmentioning

confidence: 99%

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

Cai

Wei

et al. 2020

IEEE Trans. Commun.

203

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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“…We assume that the wireless channels from a UAV to the ground user/Eve on each subcarrier are LoS-dominated and we adopt the commonly used free-space path loss model 4 as in [6]- 4 We note that field measurements [30] suggest that air-to-ground links are almost guaranteed to be LoS channels in rural areas when a UAV flies with an altitude of 100 meters or above to serve a cell with a radius of 500 meters. Furthermore, the aviation altitude of a UAV can be adjusted according to the type of terrain and the scale of the cells, which can guarantee that the air-to-ground channel LoS probability approaches one [31].…”

Section: Channel Modelmentioning

confidence: 99%

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

Wei

Yang

et al. 2020

IEEE Trans. Commun.

Self Cite

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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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Auction-Based Time Scheduling for Backscatter-Aided RF-Powered Cognitive Radio Networks

Cited by 114 publications

References 38 publications

Improving Physical-Layer Security for Full-duplex Radio aided Two-Way Relay Networks

Improving Physical-Layer Security for Full-duplex Radio aided Two-Way Relay Networks

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

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

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