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Multi-UAV Deployment for Throughput Maximization in the Presence of Co-Channel Interference

Valiulahi, I; Masouros, C; (2020) Multi-UAV Deployment for Throughput Maximization in the Presence of Co-Channel Interference. IEEE Internet of Things Journal 10.1109/jiot.2020.3023010. (In press). Green open access

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Abstract

Over the past few years, there has been a growing interest in using Unmanned Aerial Vehicles (UAVs) for high-rate wireless communication systems due to their highly flexible deployment and maneuverability. The aim of this paper is to propose a three dimensional (3D) multi-UAV deployment approach to provide quality of service (QoS) requirements for different types of user distributions in the presence of co-channel interference by maximizing the minimum achievable system throughput for all of the ground users. The proposed approach is divided into two separate algorithms. In the first algorithm, by using the mean-shift technique and prior knowledge of users’ positions provided by Global Positioning System (GPS), it has been shown that one can simultaneously find xy coordinates of UAVs where are associated with the maximum of users’ density and schedule users to UAVs. Once the xy-Cartesian coordinates of UAVs are determined, UAVs altitudes and transmit powers are separately optimized. Since these problems are non-convex optimizations, the successive convex optimization technique has been applied to approximate their non-convex constraints. In the second algorithm, the block coordinate descent technique is leveraged to jointly optimize UAVs altitudes and transmit powers by tightening the bounds obtained for approximations. It is then proven that the suggested algorithm is guaranteed to converge. The computational complexity of the proposed placement approach is derived. Numerical experiments are carried out to evaluate the performance of our technique and show its superiority to conventional benchmarks.

Type: Article
Title: Multi-UAV Deployment for Throughput Maximization in the Presence of Co-Channel Interference
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/jiot.2020.3023010
Publisher version: https://doi.org/10.1109/jiot.2020.3023010
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10114867
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