University of Oulu

M. Mozaffari, W. Saad, M. Bennis and M. Debbah, "Performance Optimization for UAV-Enabled Wireless Communications under Flight Time Constraints," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6. doi: 10.1109/GLOCOM.2017.8254660

Performance optimization for UAV-enabled wireless communications under flight time constraints

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Author: Mozaffari, Mohammad1; Saad, Walid1; Bennis, Mehdi2;
Organizations: 1Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, VA, USA
2CWC - Centre for Wireless Communications, Oulu, Finland
3Mathematical and Algorithmic Sciences Lab, Huawei France R & D, Paris, France
4CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080733442
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-08-07
Description:

Abstract

In this paper, the effective use of unmanned aerial vehicles (UAVs) as flying base stations that can provide wireless service to ground users is investigated. In particular, a novel framework for optimizing the performance of such UAV-based wireless systems, in terms of the average number of bits (data service) transmitted to users under flight time constraints, is proposed. In the considered model, UAVs are deployed over a given geographical area to serve ground users that are distributed within a given area based on an arbitrary spatial distribution function. In this case, based on the maximum possible flight times of the UAVs, the average data service delivered to the users is maximized by finding the optimal cell partitions associated to the UAVs, under a fair resource allocation scheme. To this end, using the powerful mathematical framework of optimal transport theory, a gradient-based algorithm is proposed for optimally partitioning the geographical area based on the users' distribution, flight times, and locations of the UAVs. Simulation results show that the proposed cell partitioning approach yields a significantly higher fairness among the users compared to the classical weighted Voronoi diagram. In particular, by using our approach, the Jain's fairness index is improved by a factor of 2.6.

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Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-L: 2334-0983
ISBN: 978-1-5090-5019-2
ISBN Print: 978-1-5090-5020-8
Pages: 1 - 6
DOI: 10.1109/GLOCOM.2017.8254660
OADOI: https://oadoi.org/10.1109/GLOCOM.2017.8254660
Host publication: GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported by the U.S. National Science Foundation under Grants AST-1506297 and ACI-1541105, by the U.S. Office of Naval Research (ONR) under Grant N00014-15-1-2709, and, by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).
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