Efficient Unmanned Aerial Vehicles Assisted D2D Communication Networks

Wenson Chang, Kuang Chieh Liu, Zhao Ting Meng, Li Chun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, mounting a base-station (BS) onto an unmanned aerial vehicle (UAV) has become a new dimension for constructing the new generation of wireless communication networks. For example, dynamically constructing an UAV-BS network can provide some instantaneous and emergent communication services when the infrastructure of the cellular network is destroyed owing to some devastating disasters. In this paper, we aim to deploy a scalable and self-organized UAV-assisted device-to-device (D2D) communication network using a minimum number of UAV-BSs (UBSs) under some link quality constraints. Specifically, a sequential UBS deploying algorithm is designed to guarantee the signal quality for the links between the UBSs and ground terminals, and those between UBSs and central controller. Via the simulation results, it is interesting to find that how to deploy a proper number of UBSs rather than constructing a highly connected UBS network is the key to guarantee higher spectrum efficiency for the UBS-assisted D2D networks.

Original languageEnglish
Title of host publicationCommunications and Networking - 15th EAI International Conference, ChinaCom 2020, Proceedings
EditorsHonghao Gao, Pingyi Fan, Jun Wun, Xue Xiaoping, Jun Yu, Yi Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages729-741
Number of pages13
ISBN (Print)9783030677190
DOIs
Publication statusPublished - 2021
Event15th EAI International Conference on Communications and Networking, ChinaCom 2020 - Shanghai, China
Duration: 2020 Nov 202020 Nov 21

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume352
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference15th EAI International Conference on Communications and Networking, ChinaCom 2020
CountryChina
CityShanghai
Period20-11-2020-11-21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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