UAV Coverage for Downlink in Disasters: Precoding and Multi-hop D2D

Xiaonan Liu, Guan Gui, Nan Zhao, Weixiao Meng, Zan Li, Yunfei Chen, Fumiyuki Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Unmanned aerial vehicles (UAVs) can be exploited to provide emergency coverage in disasters, due to its mobility and flexibility. In this paper, we propose multi-Antenna precoding design and multi-hop device-To-device (D2D) communication to guarantee the reliable transmission and extend the UAV coverage for downlink in disasters. Firstly, multi-hop D2D links are established to extend the coverage of UAV emergency networks with limited transmit power. In particular, a shortest-path-routing algorithm is proposed to establish the D2D links rapidly with minimum nodes, with closed-form solutions for the number of hops derived. Secondly, the precoding design for the UAV downlink is studied, to optimize the performance of UAV transmission. Due to the non-convexity of the problem, a second-order-cone programming based algorithm is proposed to solve it efficiently. Simulation results show the effectiveness of the proposed schemes for UAV coverage in disasters.

Original languageEnglish
Title of host publication2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages341-346
Number of pages6
ISBN (Electronic)9781538670057
DOIs
Publication statusPublished - 2019 Feb 12
Event2018 IEEE/CIC International Conference on Communications in China, ICCC 2018 - Beijing, China
Duration: 2018 Aug 162018 Aug 18

Publication series

Name2018 IEEE/CIC International Conference on Communications in China, ICCC 2018

Conference

Conference2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Country/TerritoryChina
CityBeijing
Period18/8/1618/8/18

Keywords

  • Device to device
  • emergency wireless networks
  • outage probability
  • precoding design
  • unmanned aerial vehicle

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