Energy Efficiency Optimization for UAV-assisted Backscatter Communications

Shengzhi Yang, Yansha Deng, Xuanxuan Tang, Yuan Ding, Jianming Zhou

Research output: Contribution to journalArticle

5 Citations (Scopus)
21 Downloads (Pure)

Abstract

Future Internet-of-Things (IoT) has high demand for energy-saving communications, especially in remote areas and smart cities. To meet this demand, we propose novel Unmanned Aerial Vehicle-assisted backscatter communications, where a UAV first collects data from multiple terrestrial backscattering tags via time division multiple access, and then flies into the coverage region of a terrestrial base station to upload its collected data to its associated base station. To determine the optimal UAV data collection location, we first analyze the system average outage probability, and then optimize the energy efficiency with the optimal backscattering location through Golden Section method under UAV energy constraint. Our analytical and simulation results illustrate that there is a trade-off between UAV data collection location and the outage probability, and the optimal UAV data collection location to achieve maximum energy efficiency needs to be closer to the tags for lower UAV transmit power.
Original languageEnglish
Pages (from-to)2041-2045
Number of pages5
JournalIEEE Communications Letters
Volume23
Issue number11
Early online date30 Jul 2019
DOIs
Publication statusPublished - Nov 2019

Fingerprint Dive into the research topics of 'Energy Efficiency Optimization for UAV-assisted Backscatter Communications'. Together they form a unique fingerprint.

Cite this