Power Allocation in UAV-Enabled Relaying Systems for Secure Communications

Sun, Guen; Li, Na; Tao, Xiaofeng; Wu, Huici

doi:10.1109/access.2019.2932780

Cited by 18 publications

(10 citation statements)

References 29 publications

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“…From the perspective of physical layer security, [43,44] optimized the trajectory of UAV relay for ground point-to-point communication in the case of eavesdroppers to maximize the secrecy rate. Similarly, [45] analyzed the problem of maximizing the confidentiality rate with the goal of optimizing the transmission power. Aiming at the reliability, [46] analyzed the optimal altitude of the UAV relay driven by overall bit error rate, overall outage, and total power loss, respectively.…”

Section: Single Uav Relaying Networkmentioning

confidence: 99%

A survey on unmanned aerial vehicle relaying networks

Zhao

Miao

et al. 2021

IET Communications

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With the explosive growth of data communications, existing infrastructure networks are under ever-increasing pressure. Due to the advantages of fully controllable mobility, rapid deployment, and low cost, the unmanned aerial vehicles (UAVs) have attracted much attentions from both industry and academia in recent years, and it has become an inevitable trend to employ UAVs to enhance the network performance in different environments.As an important paradigm of UAV-assisted communications, UAV relaying communications has been regarded as a promising solution in enhancing connectivity and improving transmission rate. This paper for the first time comprehensively summarizes UAV relaying communications and its application scenarios, including single UAV relaying networks, multi-user UAV relaying networks, multi-hop UAV relaying networks, as well as Internet of UAVs, and deeply analyzes the key technologies and challenges to be solved under this topic. Furthermore, the state-of-the-art researches and opportunities of UAV relaying communications are discussed in detail. INTRODUCTIONWith the dramatic development of wireless communications as well as the rapid increase in the scale and variety of mobile communication services, the amount of data to be transmitted is constantly exploding. And thus mobile data transmissions with high capacity, high speed, and high coverage has become the focus of attention in the industry, which is also an urgent problem to be solved. In this regard, the existing wireless communication system seems to be insufficient. Fortunately, the application of UAV-assisted communications provides opportunities to solve this problem, which can be employed as a supplement and extension of current communication systems to improve the performance [1,2]. In recent decades, with the continuous maturity of technologies such as flight control, navigation, power, and communications, the safety and reliability of UAVs have also been constantly improved, so the applicationThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Single Uav Relaying Networkmentioning

confidence: 99%

A survey on unmanned aerial vehicle relaying networks

Zhao

Miao

et al. 2021

IET Communications

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“…optimization. For example, consider that the UAV relay flies along a fixed trajectory from the source to destination, and working in a "store-carry-forward" manner [36], [126]. In this case, the trajectory implicitly affects the information-causality of the system.…”

Section: Sopmentioning

confidence: 99%

“…Relay -Eve Fixed, known FSPL ASR Optimize UAV's transmit power [126] Air: UAV (1) Ground: Alice (1), Bob (1)…”

Section: Trajectory Optimizationmentioning

confidence: 99%

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Wang,

Gao

et al. 2021

Preprint

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Due to its high mobility and flexible deployment, unmanned aerial vehicle (UAV) is drawing unprecedented interest in both military and civil applications to enable agile wireless communications and provide ubiquitous connectivity. Mainly operating in an open environment, UAV communications can benefit from dominant line-of-sight links; however, it on the other hand renders the UAVs more vulnerable to malicious eavesdropping or jamming attacks. Recently, physical layer security (PLS), which exploits the inherent randomness of the wireless channels for secure communications, has been introduced to UAV systems as an important complement to the conventional cryptographybased approaches. In this paper, a comprehensive survey on the current achievements of the UAV-aided wireless communications is conducted from the PLS perspective. We first introduce the basic concepts of UAV communications including the typical static/mobile deployment scenarios, the unique characteristics of air-to-ground channels, as well as various roles that a UAV may act when PLS is concerned. Then, we introduce the widely used secrecy performance metrics and start by reviewing the secrecy performance analysis and enhancing techniques for statically deployed UAV systems, and extend the discussion to a more general scenario where the UAVs' mobility is further exploited. For both cases, respectively, we summarize the commonly adopted methodologies in the corresponding analysis and design, then describe important works in the literature in detail. Finally, potential research directions and challenges are discussed to provide an outlook for future works in the area of UAV-PLS in 5G and beyond networks.

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“…Owing to the attractive features such as high mobility, flexibility and on‐demand deployment, UAV can act as the aerial base station (BS) or relay node to help expand the coverage area and enhance the capacity of the network [12–16]. Moreover, recent research also reveals its potential in secure transmission [17–25]. For instance, [17] considered maximizing the average security rate of the UAV based network by properly adjusting the transmit power and trajectory of UAV.…”

Section: Introductionmentioning

confidence: 99%

“…An iterative algorithm is proposed in [18] to improve the security of the UAV based mobile relay system by optimizing the transmit powers of both relay and source node as well as the trajectory of UAV. The authors in [19] maximize the secrecy rate by optimizing the source/relay transmission power in UAV‐enabled relaying system, where the formulated non‐convex problem is solved by introducing difference‐of‐concave (DC) programming and a closed‐form solution is derived for reducing the complexity of the proposed algorithm under a special case. In [20], a suboptimal algorithm with respect to the UAV trajectory planning is proposed, where the secure throughput per propulsion energy cost is maximized.…”

Section: Introductionmentioning

confidence: 99%

Joint trajectory design and power allocation for unmanned aerial vehicles aided secure transmission in the presence of no‐fly zone

Yin

Zhou

et al. 2022

IET Communications

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Unmanned aerial vehicles (UAVs) are widely considered as key enablers for future wireless networks due to their advantages, such as high mobility and flexible deployment. In this paper, the UAV assisted secure communication system is investigated, where the UAV is deployed as the mobile jammer to prevent the eavesdropper from overhearing the confidential message. With the objective of maximizing the secrecy rate, a joint optimization problem involving the trajectory and transmit power of UAV, as well as the transmit power of source node is formulated. Moreover, the effects of Non‐Fly Zone (NFZ) and imperfect estimation on the location of eavesdropper are also taken into consideration. As the original problem is hardly trackable, the worst case secrecy rate (WCSR) assumption is first employed to bypass the uncertainty brought by the estimation error. Then a block coordinate descent (BCD) based algorithm is proposed to decompose the problem into three sub‐ones, where the trajectory of UAV, the transmit power of UAV and the transmit power of source can be obtained in an iterative manner. Simulation results reveal that the proposed algorithm can improve the secrecy performance significantly. In addition, the robustness of the proposed algorithm under the estimation error can also be verified.

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Power Allocation in UAV-Enabled Relaying Systems for Secure Communications

Cited by 18 publications

References 29 publications

A survey on unmanned aerial vehicle relaying networks

A survey on unmanned aerial vehicle relaying networks

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Joint trajectory design and power allocation for unmanned aerial vehicles aided secure transmission in the presence of no‐fly zone

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