Placing multiple drone base stations in hotspots

Shuai Zhang, Xiang Sun, Nirwan Ansari

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

9 Scopus citations

Abstract

Users in a hotspot area may experience low Quality of Service (QoS) owing to the high traffic demands and limited bandwidth resources in downloading traffic from the nearby Macro Base Station (MBS). Deploying Drone Base Stations (DBSs) over a hotspot area to help the MBS transmit traffic to the users in the hotspot area is an efficient way to improve the user QoS. Essentially, DBSs are considered as relay nodes, which are deployed close to users, to transmit traffic to users with high data rates. This paper discusses the multiple DBSs 3D deployment strategy in a given hotspot area, i.e., determining the latitude, longitude, and altitude of each deployed DBS such that the number of the deployed DBSs is minimized while QoS requirements (in terms of pathloss requirements) of all the users in the hotspot area are satisfied. The strategy is formulated as an optimization problem, and a novel heuristic algorithm, i.e., Adaptive MUltiple drone base Station placEment (AMUSE), is designed to efficiently solve the problem. The performance of AMUSE is demonstrated via extensive simulations.

Original languageEnglish (US)
Title of host publication2018 IEEE 39th Sarnoff Symposium, Sarnoff 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661543
DOIs
StatePublished - Jul 2 2018
Event39th IEEE Sarnoff Symposium, Sarnoff 2018 - Newark, United States
Duration: Sep 24 2018Sep 25 2018

Publication series

Name2018 IEEE 39th Sarnoff Symposium, Sarnoff 2018

Conference

Conference39th IEEE Sarnoff Symposium, Sarnoff 2018
Country/TerritoryUnited States
CityNewark
Period9/24/189/25/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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