Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links

Chen, Yunfei; Zhao, Nan; Ding, Zhiguo; Alouini, Mohamed‐Slim

doi:10.1109/twc.2018.2859394

Cited by 248 publications

(195 citation statements)

References 40 publications

(55 reference statements)

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“…Since our system only considers the air‐to‐air (A2A) channel model, the path loss is dominant with less fading and can be defined by the free‐space propagation model. According to Chen et al, the path loss for the air‐to‐air channel (PLAA) can be expressed as follows:

P L A A false(x false) = β 10 \log_{10} x + α,

where β is the path loss exponent,

x = \sqrt{{false(x_{i} - x_{j} false)}^{2} + {false(y_{i} - y_{j} false)}^{2} + {false(z_{i} - z_{j} false)}^{2}}

is the distance between the communicating UAVs u i and u j , α represents the the path loss at the reference point. According to the free‐space propagation model, β =2 and

α = 10 \log_{10} ((), \frac{4 π w}{l})

; where w is the carrier frequency and l =3×10 8 m / s is the light speed.…”

Section: System Modelmentioning

confidence: 99%

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ECaD: Energy‐efficient routing in flying ad hoc networks

Oubbati

Mozaffari

Chaib

et al. 2019

Int J Communication

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Summary Much progress can be expected in the domain of unmanned aerial vehicle (UAV) communication by the next decade. The cooperation between multiple UAVs in the air exchanging data among themselves can naturally form a flying ad hoc network (FANET). Such networks can be the key support to accomplish several kinds of missions while providing the required assistance to terrestrial networks. However, they are confronted with many challenges and difficulties, which are due to the high mobility of UAVs, the frequent packet losses, and the weak links between UAVs, all affecting the reliability of the data delivery. Furthermore, the unbalanced energy consumption may result in earlier UAV failure and consequently accelerate the decrease of the network lifetime, thus disrupting the overall network. This paper supports the use of the movement information and the residual energy level of each UAV to guarantee a high level of communication stability while predicting a sudden link breakage prior to its occurrence. A robust route discovery process is used to explore routing paths where the balanced energy consumption, the link breakage prediction, and the connectivity degree of the discovered paths are all considered. The performance of the scheme is evaluated through a series of simulations. The outcomes demonstrate the benefits of the proposed scheme in terms of increasing the lifetime of the network, minimizing the number of path failures, and decreasing the packet losses.

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P L A A false(x false) = β 10 \log_{10} x + α,

where β is the path loss exponent,

x = \sqrt{{false(x_{i} - x_{j} false)}^{2} + {false(y_{i} - y_{j} false)}^{2} + {false(z_{i} - z_{j} false)}^{2}}

is the distance between the communicating UAVs u i and u j , α represents the the path loss at the reference point. According to the free‐space propagation model, β =2 and

α = 10 \log_{10} ((), \frac{4 π w}{l})

; where w is the carrier frequency and l =3×10 8 m / s is the light speed.…”

Section: System Modelmentioning

confidence: 99%

“…31,32 Since our system only considers the air-to-air (A2A) channel model, the path loss is dominant with less fading and can be defined by the free-space propagation model. According to Chen et al, 33 the path loss for the air-to-air channel (PLAA) can be expressed as follows:…”

Section: System Modelmentioning

confidence: 99%

ECaD: Energy‐efficient routing in flying ad hoc networks

Oubbati

Mozaffari

Chaib

et al. 2019

Int J Communication

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“…UAVs have a great potential in enhancing the performance of wireless communications, such as providing assistance for existing terrestrial cellular networks [15]- [17], and enabling information dissemination and collection in wireless sensor networks [18]-[20]. 3 Motivated by the superiority in UAV-assisted wireless communications, we introduce a UAV to act as a flying BR for a BBC network.…”

Section: A Motivationmentioning

confidence: 99%

“…Second, the transmission rates of distributed BDs suffer from fairness issue. For a BD located far away from both its associated CE and the BR, the backscattered signals endure severe channel fading twice, resulting into a low data rate compared with that of other nearby BDs.Unmanned aerial vehicle (UAV)-assisted wireless communication has attracted growing research interests from both academy and industry, due to its advantages in flexible deployment, fully controllable mobility, and high probability of line-of-sight (LoS) links from air to ground [14].UAVs have a great potential in enhancing the performance of wireless communications, such as providing assistance for existing terrestrial cellular networks [15]- [17], and enabling information dissemination and collection in wireless sensor networks [18]-[20]. 3 Motivated by the superiority in UAV-assisted wireless communications, we introduce a UAV to act as a flying BR for a BBC network.…”

mentioning

confidence: 99%

Energy-Efficient UAV Backscatter Communication with Joint Trajectory and Resource Optimization

Yang

Dai

Liang

2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Backscatter communication which enables wireless-powered backscatter devices (BDs) to transmit information by reflecting incident signals, is an energy-and cost-efficient communication technology for Internetof-Things. This paper considers an unmanned aerial vehicle (UAV)-assisted backscatter communication network (UBCN) consisting of multiple BDs and carrier emitters (CEs) on the ground as well as a UAV.A communicate-while-fly scheme is first designed, in which the BDs illuminated by their associated CEs transmit information to the flying UAV in a time-division-multiple-access manner. Considering the critical issue of the UAV's limited on-board energy and the CEs' transmission energy, we maximize the energy efficiency (EE) of the UBCN by jointly optimizing the UAV's trajectory, the BDs' scheduling, and the CEs' transmission power, subject to the BDs' throughput constraints and harvested energy constraints, as well as other practical constraints. Furthermore, we propose an iterative algorithm based on the block coordinated decent method to solve the formulated mixed-integer non-convex problem, in each iteration of which the variables are alternatively optimized by leveraging the cutting-plane technique, the Dinkelbach's method and the successive convex approximation technique. Also, the convergence and complexity of the proposed algorithm are analyzed. Finally, simulation results show that the proposed communicate-while-fly scheme The conference version [1] of this paper was presented 2 achieves significant EE gains compared with the benchmark hover-and-fly scheme. Useful insights on the optimal trajectory design and resource allocation are also obtained. Index TermsBackscatter communication, UAV communication, energy efficiency, trajectory design, resource optimization, iterative algorithm. I. INTRODUCTION A. MotivationInternet-of-Things (IoT) is revolutionizing the way we live by providing ubiquitous connectivity among billions of devices [2]. Backscatter communication (BackCom) enables passive backscatter devices (BDs) to transmit information by modulating incident sinusoidal carriers or ambient radiofrequency (RF) carriers without using any power-hungry or complex RF transmitters, and thus is an energy-and cost-efficient communication technology for IoT devices that typically have limited battery energy and strict cost constraint [3]-[12]. Specifically, the bistatic BackCom (BBC) systems with spatially separated carrier emitters (CEs) and backscatter receivers (BRs) [8] were demonstrated to achieve a communication range on the order of hundreds of meters [9] [10], and has various applications such as monitoring environmental humidity and soil moisture [13].However, the current BBC systems with fixed BRs face two main challenges. First, it is costinefficient to directly deploy a BBC network for data collection in large-scale IoT. Since the communication range of BBC is shorter than that of traditional communication with active radio, many expensive BRs are needed to cover massive BDs. Second, the transmission ...

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“…While UAVs have a broad range of applications including military, surveillance and monitoring and delivery, UAV-assisted wireless connectivity for telecommunications has been considered as a key enabler for rescue operations, specially when the existing infrastructure is unavailable. In emergency networks for disaster management, UAVs can act as aerial mobile relays to facilitate information exchange between affected areas and remote data centers or base stations [4], [5]. However, UAV networks are also vulnerable to potential attacks from eavesdroppers.…”

Section: Introductionmentioning

confidence: 99%

Physical-Layer Security for Untrusted UAV-Assisted Full-Duplex Wireless Networks

Nuradha

Hemachandra

Samarasinghe

et al. 2019

2019 IEEE Globecom Workshops (GC Wkshps)

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The paper considers physical layer security (PLS) of an untrusted unmanned aerial vehicle (UAV) network, where a multitude of UAVs communicate in full-duplex (FD) mode. A source-based jamming (SBJ) scheme is exploited for secure communication without utilizing any external jammers. Firstly, the optimal power allocation between the confidential signal and the jamming signal is derived to maximize the secrecy rate of each link between the source and the destination. Then, the best UAV selection scheme is proposed to maximize the overall secrecy rate of the network. The corresponding secrecy outage probability (SOP) and the average secrecy rate (ASR) of the network are analyzed based on the proposed UAV selection and the optimal power allocation schemes. Asymptotic results are also obtained to derive the achievable diversity order. Results are validated through numerical evaluations while providing useful network design insights such as locations and altitudes of the UAVs.Index Terms-Full-duplex, optimal power allocation, physical layer security, source jamming, unmanned aerial vehicle (UAV).

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Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 248 publications

References 40 publications

ECaD: Energy‐efficient routing in flying ad hoc networks

ECaD: Energy‐efficient routing in flying ad hoc networks

Energy-Efficient UAV Backscatter Communication with Joint Trajectory and Resource Optimization

Physical-Layer Security for Untrusted UAV-Assisted Full-Duplex Wireless Networks

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