Mobile Aerial Base Stations for Ultra-Reliable and Energy-Efficient Downlink Communications

Yasser Nabil, Hesham Elsawy, Suhail Al-Dharrab, Hussein Attia, Hassan Mostafa, Ahmed Khalil, Ibrahim Qamar

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

Abstract

Mobile aerial base stations (BSs) for ultra-reliable device-centric downlink communication are proposed in this paper. BSs are carried on unmanned aerial vehicles (UAVs) that travel and transmit data to devices when they are hovering as close to the scheduled device as possible. The performance of the proposed system is compared to a network-centric downlink scheme in which stationary UAV-BSs communicate with the devices. The transmission success probability is derived using stochastic geometry, with the model taking into account the aggregate interference, trajectory, height, antenna directivity, air-to-ground channel, and others. Owing to its ultra-reliability, the device-centric scheme outperforms the network-centric one in terms of the downlink energy efficiency from the UAV perspective in addition to offering constant performance for all devices regardless of their locations.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Smart Mobility, SM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-90
Number of pages6
ISBN (Electronic)9798350312751
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Smart Mobility, SM 2023 - Thuwal, Saudi Arabia
Duration: 19 Mar 202321 Mar 2023

Publication series

Name2023 IEEE International Conference on Smart Mobility, SM 2023

Conference

Conference2023 IEEE International Conference on Smart Mobility, SM 2023
Country/TerritorySaudi Arabia
CityThuwal
Period19/03/2321/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Mobile aerial networks
  • stochastic geometry
  • ultra-reliable communication
  • unmanned aerial vehicles (UAVs)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Transportation

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