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: Contribution to journal › Article › peer-review

16 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
Early online date	27 Jun 2023
DOIs	https://doi.org/10.1109/LCOMM.2023.3289881
Publication status	Published (in print/issue) - Aug 2023

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/LCOMM.2023.3289881

Cite this

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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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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.

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

Abstract

UN SDGs

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