Simultaneous Wireless Information and Power Transfer in UAV-assisted Cellular IoT Networks

Xueyuan Wang, M. Cenk Gursoy, Ismail Guvenc

Research output: Chapter in Book/Entry/PoemConference contribution

5 Scopus citations

Abstract

In this paper, we consider simultaneous information and energy transfer (SWIPT) in unmanned aerial vehicle (UAV)-assisted cellular Internet of Things (IoT) networks, in which the user equipment (UE) locations are modeled as Thomas cluster processes. A realistic air-to-ground communication model is incorporated into the analysis. In particular, different line of sight (LOS) and non-LOS (NLOS) path loss models are considered for the links from the UAVs to UEs and ground base stations (GBSs) to UEs. Three dimensional (3D) antenna patterns are adopted, e.g., a doughnut-shaped antenna radiation pattern is considered for UAVs and a combination of horizontal and vertical antenna pattern is utilized for GBSs. In addition, we employ the power splitting technique in the SWIPT scenario, which allows the UEs to harvest energy and decode information simultaneously using the same received signal. Association probability and energy coverage probability of the UAVs and GBSs are determined. Moreover, an analysis of the successful transmission probability which jointly addresses the energy and signal-to-interference-plus-noise ratio (SINR) coverages is provided. Finally, performance is further investigated via numerical results.

Original languageEnglish (US)
Title of host publication2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138930
DOIs
StatePublished - Jan 2020
Event17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States
Duration: Jan 10 2020Jan 13 2020

Publication series

Name2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

Conference

Conference17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Country/TerritoryUnited States
CityLas Vegas
Period1/10/201/13/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Communication

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