Flores Cabezas, X.A., Moya Osorio, D.P. & Latva-aho, M. Positioning and power optimisation for UAV-assisted networks in the presence of eavesdroppers: a multi-armed bandit approach. J Wireless Com Network 2022, 85 (2022). https://doi.org/10.1186/s13638-022-02174-8
Positioning and power optimisation for UAV-assisted networks in the presence of eavesdroppers : a multi-armed bandit approach
|Author:||Flores Cabezas, Xavier Alejandro1; Moya Osorio, Diana Pamela1; Latva-aho, Matti1|
1Centre for Wireless Communications, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023030830611
|Publish Date:|| 2023-03-08
Unmanned aerial vehicles (UAVs) are becoming increasingly attractive for the ambitious expectations for 5G and beyond networks due to their several benefits. Indeed, UAV-assisted communications introduce a new range of challenges and opportunities regarding the security of these networks. Thus, in this paper we explore the opportunities that UAVs can provide for physical layer security solutions. Particularly, we analyse the secrecy performance of a ground wireless communication network assisted by N friendly UAV jammers in the presence of an eavesdropper. To tackle the secrecy performance of this system, we introduce a new area-based metric, the weighted secrecy coverage (WSC), that measures the improvement on the secrecy performance of a system over a certain physical area given by the introduction of friendly jamming. Herein, the optimal 3D positioning of the UAVs and the power allocation is addressed in order to maximise the WSC. For that purpose, we provide a reinforcement learning-based solution by modelling the positioning problem as a multi-armed bandit problem over three positioning variables for the UAVs: angle, height and orbit radius. Our results show that the proposed algorithm improves the secrecy of the system over time in terms of the WSC, and it converges into a stable state close to the exhaustive search solution for discretised actions, where there is a trade-off between expediency of the positioning of the UAVs to positions of better secrecy outcome and energy consumption.
EURASIP journal on wireless communications and networking
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was partially supported by the Academy of Finland, 6Genesis Flagship, under Grant 318927 and FAITH project under Grant 334280.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
334280 (Academy of Finland Funding decision)
The scripts used for data gathering during the current study are available from the following repository: https://github.com/xflorescStaff/MAB-based-UAV-positioning.git.
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