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Intelligent reflecting surface assisted untrusted NOMA transmissions: a secrecy perspective

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Science China(Information Sciences) 2023年第9期66卷 226-238页

作者： Dawei WANG Xuanrui LI Yixin HE fuhui zhou Qihui WU School of Electronics and Information Northwestern Polytechnical University Research & Development Institute of Northwestern Polytechnical University in Shenzhen College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics

In this paper, we investigate the intelligent reflecting surface(IRS) assisted secure transmissions for the untrusted non-orthogonal multiple access(NOMA) network threatened by an external eavesdropper,where the near user and two untrusted far users receive the privacy information from the transmitter assisted by the IRS’s passive reflection. To protect the privacy information against internal and external eavesdropping, we first provide a comprehensive analysis of the secrecy rates, which can offer suitable methods for separately handling the internal and external secrecy performance. Following the above results, we formulate a secrecy rate maximization problem by optimizing the transmission power allocation and phase shifts. To achieve this goal, we decouple the non-convex optimization problem into the external security problem and the internal security problem. Then, we propose a heuristic simulated annealing algorithm to iteratively solve the above problems, where the semi-definite relaxation(SDR) technique, the singular value decomposition(SVD) technique, and the Lagrange multiplier method are utilized to relax the problems and optimize the power allocation and phase shifts. Finally, numerical results show that the proposed scheme can improve the secrecy rate compared with the existing IRS-aided secure NOMA transmission schemes.

关键词： intelligent reflecting surface non-orthogonal multiple access security untrusted users.

Robust Artificial Noise-Aided Beamforming for A Secure MISO-NOMA Visible Light Communication System

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China Communications 2020年第11期17卷 42-53页

作者： Xiaodong Liu Zezong Chen Yuhao Wang fuhui zhou Shuai Ma School of Electronic Information Wuhan UniversityWuhan 430072China School of Information Engineering Nanchang UniversityNanchang 330031China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Shanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts&TelecommunicationsXi’an 710121China

Visible light communication(VLC)and non-orthogonal multiple access(NOMA)have been deemed two promising techniques in the next wireless communication *** this paper,secure communications in the presence of potential eavesdropper are investigated for a multiple-input single-output VLC system with *** artificial noise jamming and beamforming technologies are applied to improve secure performance.A robust resource allocation scheme is proposed to minimize the total transmit power taking into account the constraints on the quality of service requirement of the desired users and the maximum tolerable data rate of the eavesdropper,and the practical imperfect channel state information of both the desired users and the *** formulated non-convex optimization problem is tackled based onS-Procedure and semi-definite programming *** results illustrate that our proposed resource allocation scheme can effectively guarantee communication security and achieve transmit power ***,the height and number of LED can significantly affect system performance and the optimum LED height can be obtained for different LED numbers.

关键词： artificial noise non-orthogonal multiple access physical-layer secrecy robust resource allocation visible light communication

Resource Allocation and Trajectories Design for UAV-Assisted Jamming Cognitive UAV Networks

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China Communications 2022年第5期19卷 206-217页

作者： Zhenhui Tao fuhui zhou Yuhao Wang Xiaodong Liu Qihui Wu School of Information Engineering Nanchang UniversityNanchang 330031China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000China Shanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationXi’an 710121China School of Electronic Information Wuhan UniversityWuhan 430072China

Unmanned aerial vehicle(UAV)communications are subject to the severe spectrum scarcity *** UAV networks are promising to tackle this issue while the confidential information is susceptible to be eavesdropped.A UAV jamming assisted scheme is proposed.A joint resource allocation and trajectories optimization problem is formulated in a UAV-assisted jamming cognitive UAV network subject to diverse power and trajectory *** alternative optimization algorithm is proposed to solve the challenging non-convex joint optimization *** simulation results demonstrate the superiority of our proposed scheme and many meaningful insights are obtained for the practical design of cognitive UAV networks.

关键词： cognitive radio unmanned aerial vehicles communications physical layer security cooperative jamming

Partially Distributed Channel and Power Management Based on Reinforcement Learning

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Journal of Communications and Information Networks 2020年第4期5卷 423-437页

作者： Zhiwei Jiang Caiyong Hao Yang Huang Qihui Wu fuhui zhou Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and Astronautics(NUAA)Nanjing 210016China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210016China

This paper studies a dynamic multi-user wireless network,where users have no knowledge of the arrival rate and size of data block and suffer from a constraint on long-term average power *** such a network,we address the problem of dynamically optimizing channel/power allocation,so as to minimize the long-term average data *** design problem is shown to be a constrained Markov decision *** order to solve the problem without knowledge on dynamics of the system,we introduce post-decision states and propose a resource allocation algorithm based on reinforcement *** the channel/power allocation problem is coupled,the multiuser decision problem suffers from curses of dimensions(of state/action/outcome space).This makes centralized decision-making and optimization on channel/power allocation suffer from a long convergence *** a countermeasure,a partially distributed resource allocation framework is *** multiuser power allocation problem is decoupled into single-user decision problems,while channel allocation optimization is performed in a centralized *** order to further reduce computational complexity,we propose a low-complexity reinforcement learning *** results reveal that the proposed algorithm outperforms the state-of-the-art myopic optimizations in terms of energy efficiency and the backlog performance.

关键词： constrained Markov decision processes multi-user optimization reinforcement learning the Internet of things

Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks

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Digital Communications and Networks 2024年第1期10卷 45-52页

作者： Pei Li Lingyi Wang Wei Wu fuhui zhou Baoyun Wang Qihui Wu Nanjing University of Posts and Telecommunications Nanjing210023China Nanjing University of Aeronautics and Astronautics Nanjing210016China

In this paper,we jointly design the power control and position dispatch for Multi-Unmanned Aerial Vehicle(UAV)-enabled communication in Device-to-Device(D2D)*** objective is to maximize the total transmission rate of Downlink Users(DUs).Meanwhile,the Quality of Service(QoS)of all D2D users must be *** comprehensively considered the interference among D2D communications and downlink *** original problem is strongly non-convex,which requires high computational complexity for traditional optimization *** to make matters worse,the results are not necessarily globally *** this paper,we propose a novel Graph Neural Networks(GNN)based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity ***,we first construct a GNN-based model for the proposed network,in which the transmission links and interference links are formulated as vertexes and edges,***,by taking the channel state information and the coordinates of ground users as the inputs,as well as the location of UAVs and the transmission power of all transmitters as outputs,we obtain the mapping from inputs to outputs through training the parameters of *** results verified that the way to maximize the total transmission rate of DUs can be extracted effectively via the training on ***,it also shows that the performance of proposed GNN-based method is better than that of traditional means.

关键词： Unmanned aerial vehicle D2 Dcommunication Graph neural network Power control Position planning

Aerial intelligent reflecting surface for secure wireless networks:Secrecy capacity and optimal trajectory strategy

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Intelligent and Converged Networks 2022年第1期3卷 119-133页

作者： Hehao Niu Zheng Chu Zhengyu Zhu fuhui zhou Institute of Electronic Countermeasure National University of Defense TechnologyHefei 230037China. Institute for Communication Systems University of SurreyGuildfordGU27XHUK Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts&TelecommunicationsXi’an 710121China School of Information Engineering Zhengzhou UniversityZhengzhou 450001China College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronauticsand also with the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum SpaceNanjing University of Aeronautics and AstronauticsNanjing 210000China.

This work investigates the potential of the aerial intelligent reflecting surface(AIRS)in secure communication,where an intelligent reflecting surface(IRS)carried by an unmanned aerial vehicle(UAV)is utilized to help the communication between the ground ***,we formulate the joint design of the AIRS’s deployment and the phase shift to maximize the secrecy *** solve the non-convex objective,we develop an alternating optimization(AO)approach,where the phase shift optimization is solved by the Riemannian manifold optimization(RMO)method,while the deployment optimization is handled by the successive convex approximation(SCA)***,to reduce the computational complexity of the RMO method,an element-wise block coordinate descent(EBCD)based method is *** results verify the effect of AIRS in improving the communication security,as well as the importance of designing the deployment and phase shift properly.

关键词： aerial intelligent reflecting surface(AIRS) unmanned aerial vehicle(UAV) alternating optimization Riemannian manifold optimization(RMO) element-wise block coordinate descent(EBCD)

Sub-THz signals' propagation model in hypersonic plasma sheath under different atmospheric conditions

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Science China(Information Sciences) 2017年第11期60卷 242-252页

作者： Kai YUAN Yuhao WANG Linfang SHEN Ming YAO Xiaohua DENG fuhui zhou zhou CHEN Institute of Space Science and Technology Nanchang University Information Engineering School Nanchang University

One of the aims for modern hypersonic cruise flight is hypersonic global reach. The length of route for such flights could be up to thousands of kilometers. The atmospheric conditions on the route are complicated. On the other hand, hypersonic flights used to suffer from communication blackout. The sub-THz communication is considered as a potential solution to the ‘blackout’. In the present study the propagation for sub-THz signals in hypersonic plasma sheaths was modeled under different atmospheric conditions. According to the study, the electron density and the electron collision frequency near the onboard antenna linearly increase with the atmospheric mass density around the vehicle, hence the attenuation of sub-THz signals in hypersonic plasma sheaths increases with the atmospheric mass density. The impact led by the atmospheric temperature is ignorable. Based on the study a new sub-THz signals’ propagation model was developed, which could be utilized for quick estimation for signal propagation under different atmospheric conditions. The geographical difference of signal propagation over the whole globe was obtained with the new model. The results showed that the signal attenuation in plasma sheaths varies with latitude and longitude. The maximum signal attenuation occurs in Alaska, Canada and Russia.

关键词： sub-THz communication hypersonic cruise flight communication blackout plasma sheath signal propagation model signal attenuation

Outage-driven link selection for secure buffer-aided networks

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Science China(Information Sciences) 2022年第8期65卷 197-212页

作者： Dawei WANG Tianmi HE fuhui zhou Julian CHENG Ruonan ZHANG Qihui WU School of Electronics and Information Northwestern Polytechnical University College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics National Mobile Communications Research Laboratory Southeast University School of Engineering The University of British Columbia Research & Development Institute of Northwestern Polytechnical University in Shenzhen Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics

In this paper, we investigate secure communication in a two-hop wireless network, where multiple buffer-aided relays assist to securely forward data from the sender to the destination threatened by a passive eavesdropper. To satisfy the security and delay requirements, we propose a novel link selection policy without the instantaneous wiretap channel state information. Different from the most current link selection policies,the proposed link selection policy is designed by joint considering the link secrecy outage probability and the buffer states. To evaluate the secrecy performance, we first characterize the system state transition matrix and the stationary state probability, and then derive the closed-form expressions for the secrecy outage probability and the secrecy rate. Moreover, we formulate a framework based on the queuing theory to analyze the end-to-end information delay at the source, the relays, and the queues, and derive the closed-form expression for the information delay. Finally, we conduct simulations to validate our theoretical performance analysis, and verify the performance improvement of the proposed outage-driven secure transmission scheme in terms of secrecy outage probability and information delay.

关键词： buffer-aided relay information delay link selection secrecy outage probability

有人机/无人机智能协同目标搜索和轨迹规划算法

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通信学报 2024年第1期45卷 31-40页

作者：卢卓吴启晖周福辉南京航空航天大学电子信息工程学院江苏南京210016

基于有人机/无人机智能协同平台,针对多个位置未知的干扰信号源搜索及轨迹规划进行了研究。考虑到搜索过程的实时性和动态性,提出了一种基于多智能体深度强化学习的有人机/无人机智能协同目标搜索和轨迹规划(MUICTSTP)算法。各无人机通... 详细信息

基于有人机/无人机智能协同平台,针对多个位置未知的干扰信号源搜索及轨迹规划进行了研究。考虑到搜索过程的实时性和动态性,提出了一种基于多智能体深度强化学习的有人机/无人机智能协同目标搜索和轨迹规划(MUICTSTP)算法。各无人机通过感知接收干扰信号强度在线决策轨迹规划,同时将感知信息和决策动作传给有人机来获得全局评估。仿真结果表明,该算法相比其他算法在长期接收干扰信号强度、碰撞等方面表现出更好性能,且获得更优的学习策略。

关键词：有人机/无人机智能协同多智能体深度强化学习轨迹规划接收干扰信号强度