Joint Distributed Beamforming and Backscattering for UAV-Assisted WPSNs

This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered sensor network (WPSN), where sensor nodes of multiple types can simultaneously harvest radio-frequency energy from the UAV and then transmit sensing data by using harvested energy. A joint distributed beamforming (DBF) and...

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Published inIEEE transactions on wireless communications Vol. 22; no. 3; pp. 1510 - 1522
Main Authors Mao, Zhi, Hu, Fengye, Wu, Wen, Wu, Huaqing, Shen, Xuemin
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Autonomous aerial vehicles
Backscatter
Backscattering
Beamforming
distributed backscattering
distributed beamforming
Energy harvesting
Iterative methods
Kuhn-Tucker method
Nodes
Optimization
Satellite broadcasting
Sensors
Signal strength
Signal to noise ratio
Throughput
unmanned aerial vehicle
Unmanned aerial vehicles
Wireless communication
Wireless powered sensor networks
Wireless sensor networks
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Abstract This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered sensor network (WPSN), where sensor nodes of multiple types can simultaneously harvest radio-frequency energy from the UAV and then transmit sensing data by using harvested energy. A joint distributed beamforming (DBF) and backscattering scheme is designed, in which the sensor nodes of one type can perform DBF while the sensor nodes of other types perform distributed backscattering (DBS) to improve the received signal strength. A sum-throughput maximization problem is formulated by jointly optimizing DBF phases, DBS phases, and time allocation (TA), subject to the received signal-to-noise ratio constraints. Since the formulated problem is difficult to be solved due to the tightly coupled optimizing variables, the problem is decoupled into a TA subproblem and a phase optimization subproblem, and then a two-step algorithm is proposed to solve them. Firstly, the closed-form solution for the TA subproblem is derived according to Karush-Kuhn-Tucker conditions. Secondly, based on iterative optimization and one-dimensional search methods, a centralized algorithm is proposed to obtain the optimal solution for the phase optimization subproblem. Moreover, a decentralized algorithm that obtains the suboptimal solution is proposed to reduce the computational complexity. Extensive simulation results validate the effectiveness of the proposed scheme on throughput enhancement.
AbstractList This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered sensor network (WPSN), where sensor nodes of multiple types can simultaneously harvest radio-frequency energy from the UAV and then transmit sensing data by using harvested energy. A joint distributed beamforming (DBF) and backscattering scheme is designed, in which the sensor nodes of one type can perform DBF while the sensor nodes of other types perform distributed backscattering (DBS) to improve the received signal strength. A sum-throughput maximization problem is formulated by jointly optimizing DBF phases, DBS phases, and time allocation (TA), subject to the received signal-to-noise ratio constraints. Since the formulated problem is difficult to be solved due to the tightly coupled optimizing variables, the problem is decoupled into a TA subproblem and a phase optimization subproblem, and then a two-step algorithm is proposed to solve them. Firstly, the closed-form solution for the TA subproblem is derived according to Karush-Kuhn-Tucker conditions. Secondly, based on iterative optimization and one-dimensional search methods, a centralized algorithm is proposed to obtain the optimal solution for the phase optimization subproblem. Moreover, a decentralized algorithm that obtains the suboptimal solution is proposed to reduce the computational complexity. Extensive simulation results validate the effectiveness of the proposed scheme on throughput enhancement.
Author Mao, Zhi
Hu, Fengye
Shen, Xuemin
Wu, Huaqing
Wu, Wen
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Snippet This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered sensor network (WPSN), where sensor nodes of multiple types can simultaneously...
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SubjectTerms Algorithms
Autonomous aerial vehicles
Backscatter
Backscattering
Beamforming
distributed backscattering
distributed beamforming
Energy harvesting
Iterative methods
Kuhn-Tucker method
Nodes
Optimization
Satellite broadcasting
Sensors
Signal strength
Signal to noise ratio
Throughput
unmanned aerial vehicle
Unmanned aerial vehicles
Wireless communication
Wireless powered sensor networks
Wireless sensor networks
Title Joint Distributed Beamforming and Backscattering for UAV-Assisted WPSNs
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