Resource Allocation and Trajectory Design in UAV-Assisted Jamming Wideband Cognitive Radio Networks

Wang, Yuhao; Chen, Long; Zhou, Yifan; Liu, Xiaodong; Zhou, Fuhui; Al-Dhahir, Naofal

doi:10.1109/tccn.2020.3014208

Cited by 34 publications

(18 citation statements)

References 43 publications

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“…Wang et al considered the secrecy performance of a CRN with multiple terrestrial CUs and PUs, and a terrestrial eavesdropper in [23]. An aerial-friendly jammer was utilized to enhance security.…”

Section: A Background and Related Workmentioning

confidence: 99%

“…The horizontal positions of S and J at the nth slot are expressed as q S (n) = [x S (n) , y S (n)] T and q J (n) = [x J (n) , y J (n)] T , respectively. In addition, w D k ∈ R 2×1 , w Ur ∈ R 2×1 , and w E ∈ R 2×1 denote the location coordinates of D k , U r , and E. Similar to [19] and [23], all the A2G links are assumed to be LoS links. For simplicity, it is assumed that the A2G links are dominated by the LoS links, where the channel quality depends only on Euclidean distance.…”

Section: A System Modelmentioning

confidence: 99%

“…It is assumed that S for the kth user and J transmit signals at the nth slot with power P k (n) and P J (n), respectively. The average interference power constraint for U r is given as [23] 1…”

Section: A System Modelmentioning

confidence: 99%

“…According to the method used in [18] and [23], we can remove the operator [x] + . Meanwhile, to solve P 1 , alternating optimization method is utilized to optimize the scheduling variable Θ, transmit power allocation P, and trajectory of UAV Q in an alternating manner, by considering the others to be given.…”

Section: Proposed Algorithm On Dual Collaborative Uavsmentioning

confidence: 99%

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Joint Trajectory Design and User Scheduling of Aerial Cognitive Radio Networks

Lei¹,

Haosi²,

Park³

et al. 2022

Preprint

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Unmanned aerial vehicles (UAVs) have been widely employed to enhance the end-to-end performance of wireless communications since the links between UAVs and terrestrial nodes are line-ofsight (LoS) with high probability. However, the broadcast characteristics of signal propagation in LoS links make it vulnerable to being wiretapped by malicious eavesdroppers, which poses a considerable challenge to the security of wireless communications. This paper investigates the security of aerial cognitive radio networks (CRNs). An airborne base station transmits confidential messages to secondary users utilizing the same spectrum as the primary network. An aerial base station transmits jamming signals to suppress the eavesdropper to enhance secrecy performance. The uncertainty of eavesdropping node locations is considered, and the average secrecy rate of the cognitive user is maximized by optimizing multiple users' scheduling, the UAVs' trajectory, and transmit power. To solve the nonconvex optimization problem with mixed multiple integers variable problem, we propose an iterative algorithm based on block coordinate descent and successive convex approximation. Numerical results verify the effectiveness of our proposed algorithm and demonstrate that our scheme is beneficial to improving the secrecy performance of aerial CRNs.

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Section: A Background and Related Workmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%

Section: Proposed Algorithm On Dual Collaborative Uavsmentioning

confidence: 99%

See 2 more Smart Citations

Joint Trajectory Design and User Scheduling of Aerial Cognitive Radio Networks

Lei¹,

Haosi²,

Park³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Interference is generally considered harmful in communication systems. However, interference can be appropriately exploited to improve the secrecy performance [10]- [15]. A joint beamforming for signal and artificial noise was proposed in [10] to ensure the secure communication of PN and SN.…”

Section: Introductionmentioning

confidence: 99%