Enhancing Emergency Communications via UAV-Assisted Home-Independent Broadband Mobile Networks

Yiping Zhang, Haobin Shi

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

1 Scopus citations

Abstract

Natural disasters often lead to significant communication breakdowns due to direct damage and indirect effects on communication infrastructure. Advances in unmanned aerial vehicle (UAV) technology, combined with its integration into wireless networks, present promising avenues for mitigating these challenges. However, a primary limitation of current solutions is that UAV-carried base stations are tied exclusively to a single telecommunications provider, limiting service access to subscribers of that provider and excluding others, particularly affecting user equipment (UE) in disaster zones. To overcome this barrier, we propose a UAV-assisted home-independent broadband mobile communication network that allows UEs from multiple operators to connect to a unified network and access broadband services. We have developed the architecture for this network and a signaling process that enables UEs to connect to this home-independent cellular network. This architecture allows UEs associated with various telecom operators to join the proposed network and establish data links efficiently. Extensive simulation results demonstrate the effectiveness of our proposed network architecture, showing good performance in signal coverage, packet transmission rate, round-trip time, and signal strength, which shows that our proposed scheme works very well.

Original languageEnglish
Title of host publicationWeb and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings
EditorsWenjie Zhang, Zhengyi Yang, Xiaoyang Wang, Anthony Tung, Zhonglong Zheng, Hongjie Guo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages427-437
Number of pages11
ISBN (Print)9789819772438
DOIs
StatePublished - 2024
Event8th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2024 - Jinhua, China
Duration: 30 Aug 20241 Sep 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14965 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2024
Country/TerritoryChina
CityJinhua
Period30/08/241/09/24

Keywords

  • Emergency communications
  • home-independent communication
  • multi-operator networks
  • unmanned aerial vehicle

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