Learning-based joint UAV trajectory and power allocation optimization for secure IoT networks
보안 사물인터넷 네트워크에서 학습 기반 연합 무인기 궤적 및 전력 분배 최적화
Optimización de la trayectoria y distribución de energía de los vehículos aéreos no tripulados conjuntos basada en el aprendizaje en la red de Internet de las cosas seguras
Optimisation de la trajectoire et de l'allocation de puissance de l'UAV basée sur l'apprentissage dans le réseau sécurisé d'Internet des objets
оптимизация распределения мощности и траекторий на основе обучения
Dan Deng 邓单 ¹, Xingwang Li 李兴旺 ², Varun Menon ³, Md Jalil Piran ⁴, Hui Chen 陈慧 ², Mian Ahmad Jan ⁵
¹ School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, 410630, China
中国 广州 广州番禺职业技术学院信息工程学院
² School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454150, China
中国 焦作 河南理工大学 信息科学与工程学院
³ Department of Computer Science and Engineering, SCMS School of Engineering and Technology, India
⁴ Department of Computer Science and Engineering, Sejong University, South Korea
⁵ Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan
Digital Communications and Networks, 24 August 2022

Non-Orthogonal Multiplex Access (NOMA) can be deployed in Unmanned Aerial Vehicle (UAV) networks to improve spectrum efficiency. Due to the broadcasting feature of NOMA-UAV networks, it is essential to focus on the security of the wireless system. This paper focuses on maximizing the secrecy sum rate under the constraint of the achievable rate of the legitimate channels. To tackle the non-convexity optimization problem, a reinforcement learning-based alternative optimization algorithm is proposed.

Firstly, with the help of successive convex approximations, the optimal power allocation scheme with a given UAV trajectory is obtained by using convex optimization tools. Afterwards, through plenty of explorations of the wireless environment, the Q-learning networks approach the optimal location transition strategy of the UAV, even without the wireless channel state information.
Digital Communications and Networks_1
Digital Communications and Networks_2
Digital Communications and Networks_3
Reviews and Discussions
Photo-processing of perovskites: current research status and challenges
Towards integrated mode-division demultiplexing spectrometer by deep learning
Discovery of novel aspartate derivatives as highly potent and selective FXIa inhibitors
Large-scale and high-quality III-nitride membranes through microcavity-assisted crack propagation by engineering tensile-stressed Ni layers
Metasurface-based nanoprinting: principle, design and advances
Crosstalk-free achromatic full Stokes imaging polarimetry metasurface enabled by polarization-dependent phase optimization
All-optical logic gate computing for high-speed parallel information processing
100 Hertz frame-rate switching three-dimensional orbital angular momentum multiplexing holography via cross convolution
Brillouin scattering spectrum for liquid detection and applications in oceanography
3D imaging lipidometry in single cell by in-flow holographic tomography
Carnivorous plants inspired shape-morphing slippery surfaces
Piezoresistive design for electronic skin: from fundamental to emerging applications

Previous Article                                Next Article
Copyright © Hot Paper