Throughput maximization for UAV-enabled wireless power transfer in relaying system

Hua, Meng; Li, Chunguo; Huang, Yongming; Yang, Liu

doi:10.1109/wcsp.2017.8170970

Cited by 53 publications

(49 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The theory of minority games is used in [9] to create clusters among the users based on their physical characteristics (energy availability, communication distance from the UAV) and determine their optimal transmission power to communicate with the UAV. In [10], the authors exploit the UAV wireless system's physical characteristics, i.e., UAV's maximum speed constraint and the users' energy availability, towards maximizing the minimum uplink throughput of all the users during an examined period of the UAV's flight. A non-cooperative power control problem is formulated in [11] to determine the users' optimal transmission power to the UAV in a distributed manner.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Exploiting prospect theory and risk-awareness to protect UAV-assisted network operation

Vamvakas

Tsiropoulou

Papavassiliou

2019

J Wireless Com Network

View full text Add to dashboard Cite

In this paper, a novel resource management framework is introduced and exploited to ensure the efficient and smooth operation of a wireless network, assisted by an unmanned aerial vehicle (UAV), operating under the non-orthogonal multiple access (NOMA) scheme and consisting of both normal and malicious risk-aware users. User devices are assumed capable of splitting their transmission power in two different communication alternatives, established via either the UAV or the macro base station (MBS). The bandwidth offered by the UAV is accessible by everyone, delivers potentially higher rate of return taking into account the enhanced communication channel gains owing to its proximity to the serving users, but is prone to failure due to its potential over-exploitation. Accordingly, the UAV's bandwidth is considered as common pool of resources (CPR). In contrast, the MBS's bandwidth is considered as a safe resource offering to the users a more limited but guaranteed level of service, due to the fact that though it has less available bandwidth it operates under a more controlled access scheme. The theory of the tragedy of the commons is used to capture the probability of failure of the CPR, while the prospect theory is adopted to study the normal and malicious users' risk-aware behavior in the UAV-assisted network. A non-cooperative power control game among the users is formulated and solved, in order to determine the users' power investment to the dual communication environment. The existence and uniqueness of a Pure Nash Equilibrium point is shown and a distributed algorithm is introduced to converge to the PNE point. This overall resource allocation framework is intelligently exploited as the vehicle to detect malicious user behavior and therefore protect the network from the undesired effects of such behaviors. The performance and inherent attributes of the proposed user-centric risk-aware operation framework, in terms of its capability to effectively utilize the available system and user resources (i.e., bandwidth and power), while succeeding in identifying potential abnormal or malicious user behaviors is assessed via modeling and simulation, under different operation scenarios.

show abstract

Section: Related Work and Motivationmentioning

confidence: 99%

Exploiting prospect theory and risk-awareness to protect UAV-assisted network operation

Vamvakas

Tsiropoulou

Papavassiliou

2019

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Besides, an orthogonal frequency division multiplexing (OFDM) relaying-based SWIPT UAV communication system was proposed in [29], where the energy-constrained UAV exploits the power splitting (PS) scheme to simultaneously perform EH and information decoding (ID). Furthermore, in [30], a joint UAV location deployment, PS, and time switching (TS) ratio design was investigated to maximize the network throughput in an energy-constraint UAV amplify-andforward relaying system. Despite the research efforts devoted to SWIPT in UAV-ground communications, the security issue of SWIPT-aided UAV wireless communication has drawn little attention so far.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, although the applications of SWIPT have brought various advantages to communication systems, it is also known that SWIPT-powered systems are more vulnerable than conventional systems in terms of security [31], [32]. More importantly, existing designs, e.g., [28]- [30], may not be applicable to the case when communication security is utmost important in SWIPT-aided UAV systems. It is worth noting that there have been some initial attempts (e.g., [33]) that address the security issues of SWIPT-powered UAV-ground communication systems.…”

Section: Introductionmentioning

confidence: 99%

Energy-Constrained UAV-Assisted Secure Communications With Position Optimization and Cooperative Jamming

Wang

Zhang

et al. 2020

IEEE Trans. Commun.

View full text Add to dashboard Cite

In this paper, we consider an energy-constrained unmanned aerial vehicle (UAV)-enabled mobile relay assisted secure communication system in the presence of a legitimate source-destination pair and multiple eavesdroppers with imperfect locations. The energy-constrained UAV employs the power splitting (PS) scheme to simultaneously receive information and harvest energy from the source, and then exploits the time switching (TS) protocol to perform information relaying. Furthermore, we consider a full-duplex destination node which can simultaneously receive confidential signals from the UAV and cooperatively transmit artificial noise (AN) signals to confuse malicious eavesdroppers. To further enhance the reliability and security of this system, we formulate a worst case secrecy rate maximization problem, which jointly optimizes the position of the UAV, the AN transmit power, as well as the PS and TS ratios. The formulated problem is non-convex and generally intractable. In order to circumvent the non-convexity, we decouple the original optimization problem into three subproblems; this facilitates the design of a suboptimal iterative algorithm. In each iteration, we propose a multi-dimensional search and numerical method to handle the subproblem. Numerical simulation results are pro

show abstract

“…Researchers in [12] have also explored RF energy harvesting for recharging UAVs. However, they rely on terrestrial energy sources for charging UAVs while we consider airborne chargers.…”

Section: Introductionmentioning

confidence: 99%

Recharging of Flying Base Stations using Airborne RF Energy Sources

Hassan

Bokani

Kanhere

2019

2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)

View full text Add to dashboard Cite

This paper presents a new method for recharging flying base stations, carried by Unmanned Aerial Vehicles (UAVs), using wireless power transfer from dedicated, airborne, Radio Frequency (RF) energy sources. In particular, we study a system in which UAVs receive wireless power without being disrupted from their regular trajectory. The optimal placement of the energy sources are studied so as to maximize received power from the energy sources by the receiver UAVs flying with a linear trajectory over a square area. We find that for our studied scenario of two UAVs, if an even number of energy sources are used, placing them in the optimal locations maximizes the total received power, while achieving fairness among the UAVs. However, in the case of using an odd number of energy sources, we can either maximize the total received power, or achieve fairness, but not both at the same time. Numerical results show that placing the energy sources at the suggested optimal locations results in significant power gain compared to nonoptimal placements.

show abstract

Throughput maximization for UAV-enabled wireless power transfer in relaying system

Cited by 53 publications

References 13 publications

Exploiting prospect theory and risk-awareness to protect UAV-assisted network operation

Exploiting prospect theory and risk-awareness to protect UAV-assisted network operation

Energy-Constrained UAV-Assisted Secure Communications With Position Optimization and Cooperative Jamming

Recharging of Flying Base Stations using Airborne RF Energy Sources

Contact Info

Product

Resources

About