UAV-Enabled Secure Data Dissemination via Artificial Noise: Joint Trajectory and Communication Optimization

An Li,Wenjing Zhang,Shaoting Dou

doi:10.1109/access.2020.2998697

An Li, Wenjing Zhang + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.2998697

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Abstract

This paper studies a single UAV-enabled secure data dissemination system, in which the UAV is employed as an aerial base station to secretly communicate with multiple ground users. To prevent confidential signal intended to scheduled users overhearing by unscheduled ones, artificial noise (AN) is introduced and the UAV transmits a mixture of intended signal and a priori known AN to scheduled user at each time slot. The trajectory and the power splitting factor of UAV as well as the user scheduling are jointly optimized to maximize the minimum average secrecy rate over a finite flight period. To address the non-convexity of the formulated problem, an efficient iterative algorithm is presented based on alternating optimization and successive convex optimization techniques, which can ensure convergence to at least a local optimal solution. Simulation results show significant secrecy gains of the proposed design over benchmark scheme with circular trajectory.

Highlights

As forecasted by IHS Markti [1], the number of IoTconnected devices would rise up to approximately 80 billion worldwide by 2025
One of the core pillars of IoT building our connected life is enhanced data dissemination through multi-hop routing from the fixed ground base station (BS) to the physical IoT nodes to efficiently manage data
This is because the circular trajectory constraint makes that the scheduled user which is not around the circle experiences worse channels, and more power is allocated to jam the unscheduled users, which both impose the bottleneck for the max-min secrecy rate

Summary

INTRODUCTION

As forecasted by IHS Markti [1], the number of IoTconnected devices would rise up to approximately 80 billion worldwide by 2025. A. Li et al.: UAV-Enabled Secure Data Dissemination via AN: Joint Trajectory and Communication Optimization flying cellular-connected users [17], [18], and energy broadcasting [19], etc. Reference [26] first investigated secure both downlink and uplink UAV communications against the ground eavesdropper with known position, where joint UAV trajectory and transmit power optimization algorithms are designed to maximize the average achievable secrecy rate. To guarantee fairness among all ground users, our goal is to maximize the minimum average secrecy rate by jointly optimizing the UAV trajectory, transmit power splitting factor as well as user scheduling over a finite flight period.

SYSTEM MODEL AND PROBLEM FORMULATION

SUBPROBLEM 1

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SUBPROBLEM 3

NUMERICAL RESULT

CONCLUSION