Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping

Cheng Yin; Huiling Yang; Pei Xiao; Zheng Chu; Emi Garcia-Palacios

doi:10.1109/LCOMM.2023.3289881

Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping

Cheng Yin, Huiling Yang, Pei Xiao, Zheng Chu, Emi Garcia-Palacios

Research output: Journal Publication › Article › peer-review

4 Citations (Scopus)

Abstract

UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.

Original language	English
Pages (from-to)	2103-2107
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	8
DOIs	https://doi.org/10.1109/LCOMM.2023.3289881
Publication status	Published - 1 Aug 2023
Externally published	Yes

Keywords

D2D
Physical layer security
UAV
energy harvesting
secrecy energy efficiency

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LCOMM.2023.3289881

Cite this

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title = "Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping",

abstract = "UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.",

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author = "Cheng Yin and Huiling Yang and Pei Xiao and Zheng Chu and Emi Garcia-Palacios",

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AU - Yin, Cheng

AU - Yang, Huiling

AU - Xiao, Pei

AU - Chu, Zheng

AU - Garcia-Palacios, Emi

PY - 2023/8/1

Y1 - 2023/8/1

N2 - UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.

AB - UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.

KW - D2D

KW - Physical layer security

KW - UAV

KW - energy harvesting

KW - secrecy energy efficiency

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VL - 27

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 8

ER -

Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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