Simulating uav’s movement for servicing user groups with a reference point in wireless networks

Emil M. Khayrov, Nikita A. Polyakov, Ekaterina G. Medvedeva, Jiri Pokorny, Yuliya V. Gaidamaka, Jiri Hosek

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

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Abstract

Current cellular networks face outbreaks of an extremely high demand for communication capacity and coverage during the mass events. This article discusses a scenario with events in remote areas. It is expected that the unmanned aerial vehicles (UAVs) equipped with the directional antennas will become one of the key components of these networks and provide the solution. It attracts considerable attention in basic and applied research and commerce for its rapid deployment and flexible extension of the users coverage, mobility of UAV access points (APs) and a higher probability of line-of-sight channels. However, it also creates new issues to be addressed. The critical task is to maximize coverage area with the required quality of service to provide the connection for the maximum number of users. At the same time, analysis of the performance indicators of such networks, taking into account the mobility of both access points and users, is challenging. One of the key quality indicators is the probability of coverage. The aim of this work is to consider two drones’ mobility models to cover users with small cells, and to solve the problem of maximizing coverage probability using the simulation. With a given threshold signal-to-noise ratio, it is shown that using the particle swarm method as an adaptive navigation algorithm allows achieving higher coverage probability values as opposed to k-means algorithm. A comparative analysis of adaptive navigation is presented.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems
Subtitle of host publication20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings
EditorsOlga Galinina, Sergey Andreev, Sergey Balandin, Yevgeni Koucheryavy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages415-425
Number of pages11
ISBN (Print)978-3-030-65728-4
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in conference proceedings
Event20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020 - St. Petersburg, Russian Federation
Duration: 26 Aug 202028 Aug 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12526 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020
Country/TerritoryRussian Federation
CitySt. Petersburg
Period26/08/2028/08/20

Keywords

  • Coverage probability
  • Non-terrestrial networks
  • UAV mobility simulation
  • User group mobility

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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