Reshaping cellular networks for the sky: major factors and feasibility
File(s) 1710.11404.pdf (411.53 KB)
Accepted version
OA Location
Author(s)
Azari, Mahdi M
Rosas De Andraca, Fernando Ernesto
Pollin, Sofie
Type
Conference Paper
Abstract
This paper studies the feasibility of supporting drone operations using existent cellular infrastructure. We propose an analytical framework that includes the effects of base station (BS) height and antenna radiation pattern, drone antenna directivity and various propagation environments. With this framework, we derive an exact expression for the coverage probability of ground and drone users through a practical cell association strategy. Our results show that a carefully designed network can control the radiated interference that is received by the drones, and therefore guarantees a satisfactory quality of service. Moreover, as the network density grows the increasing level of interference can be partially managed by lowering the drone flying altitude. However, even at optimal conditions the drone coverage performance converges to zero considerably fast, suggesting that ultra-dense networks might be poor candidates for serving aerial users.
Date Issued
2018-07-31
Date Acceptance
2018-01-08
Citation
2018 IEEE International Conference on Communications (ICC), 2018
ISSN
1938-1883
Publisher
IEEE
Journal / Book Title
2018 IEEE International Conference on Communications (ICC)
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Grant Number
702981
Source
2018 IEEE International Conference on Communications (ICC)
Publication Status
Published
Start Date
2018-05-20
Finish Date
2018-05-24
Coverage Spatial
Kansas City, USA
