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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

以重大项目群为牵引的空天信息人工智能课程体系建设

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高等工程教育研究 2024年第2期 84-90页

作者：周福辉吴伟张小飞吴启晖南京航空航天大学电子信息工程学院南京邮电大学通信与信息工程学院南京航空航天大学

在人工智能和空天信息技术的新一轮技术革命和产业变革中,发展智能化的空天信息技术是有效应对未来智能变革的关键,同时也对高等教育人才培养提出了新要求。现有空天信息人工智能课程建设存在理论教学与实践应用脱节、知识体系不够系统... 详细信息

在人工智能和空天信息技术的新一轮技术革命和产业变革中,发展智能化的空天信息技术是有效应对未来智能变革的关键,同时也对高等教育人才培养提出了新要求。现有空天信息人工智能课程建设存在理论教学与实践应用脱节、知识体系不够系统、教学方式较为传统以及缺乏行业应用导向等问题。针对这些问题,瞄准空天信息领域高层次人才培养目标,推进人工智能教育发展,本文在“新工科”建设和“人工智能+X”新模式背景下,提出一种空天信息技术人工智能课程体系改革方案。该方案以重大项目群为牵引,融合空天信息领域特色以及人工智能基础知识,从课程体系建设、实践教学驱动、教材体系改革和协同育人平台搭建四个方面阐述教学创新方法以及取得的教学成效,为打造具有空天信息特色的一流课程和人才培养体系奠定坚实基础。

关键词：人工智能空天信息技术重大项目群课程体系建设

智能反射面增强的多无人机辅助语义通信资源优化

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无线电通信技术 2024年第2期50卷 366-372页

作者：王浩博吴伟周福辉胡冰田峰南京邮电大学通信与信息工程学院江苏南京210003 南京航空航天大学电子信息工程学院江苏南京211106 南京邮电大学现代邮政学院江苏南京210003

无人机(Unmanned Aerial Vehicle,UAV)为无线通信系统提供了具有高成本效益的解决方案。进一步地,提出了一种新颖的智能反射面(Intelligent Reflecting Surface,IRS)增强多UAV语义通信系统。该系统包括配备IRS的UAV、移动边缘计算(Mobil... 详细信息

无人机(Unmanned Aerial Vehicle,UAV)为无线通信系统提供了具有高成本效益的解决方案。进一步地,提出了一种新颖的智能反射面(Intelligent Reflecting Surface,IRS)增强多UAV语义通信系统。该系统包括配备IRS的UAV、移动边缘计算(Mobile Edge Computing,MEC)服务器和具有数据收集与局部语义特征提取功能的UAV。通过IRS优化信号反射显著改善了UAV与MEC服务器的通信质量。所构建的问题涉及多UAV轨迹、IRS反射系数和语义符号数量联合优化,以最大限度地减少传输延迟。为解决该非凸优化问题,本文引入了深度强化学习(Deep Reinforce Learning,DRL)算法,包括对偶双深度Q网络(Dueling Double Deep Q Network,D3QN)用于解决离散动作空间问题,如UAV轨迹优化和语义符号数量优化;深度确定性策略梯度(Deep Deterministic Policy Gradient,DDPG)用于解决连续动作空间问题,如IRS反射系数优化,以实现高效决策。仿真结果表明,与各个基准方案相比,提出的智能优化方案性能均有所提升,特别是在发射功率较小的情况下,且对于功率的变化,所提出的智能优化方案展示了良好的稳定性。

关键词：无人机网络智能反射面语义通信资源分配

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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.

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)

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

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

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低空智联网组网与控制理论方法

航空学报 2024年第3期45卷 1-18页

作者：吴启晖董超贾子晔崔灿冯斯梦周福辉谢华南京航空航天大学电子信息工程学院电磁频谱空间认知动态系统工信部重点实验室南京211106 南京航空航天大学通用航空与飞行学院南京211106

低空智联网(LAIN)作为一种新兴的智能网络,依托于空天地海基础设施构成数字智能网络体系,是空天地一体化网络的重要组成部分,可支撑实现第六代通信技术无缝泛在互联,推动智能网络服务由地面向低空空域的发展。然而,LAIN正处在技术突破阶... 详细信息

低空智联网(LAIN)作为一种新兴的智能网络,依托于空天地海基础设施构成数字智能网络体系,是空天地一体化网络的重要组成部分,可支撑实现第六代通信技术无缝泛在互联,推动智能网络服务由地面向低空空域的发展。然而,LAIN正处在技术突破阶段,仍面临以下关键挑战尚未解决,主要包括低空空域安全管控困难、频谱干扰严重、多维资源紧缺等问题。因此,面向LAIN体系架构与安全管控问题,综述了目前低空网络的发展现状,指出其对于产业技术变革的意义;然后,从频谱资源、网络资源以及空域资源管理的角度出发,分析了LAIN相关技术的国内外研究现状;进一步,剖析低空飞行器空地频谱共享、感传算一体化组网覆盖、低空空域智能监管等关键技术,为LAIN和低空空域的管理指明进一步的发展方向;最后,提出了LAIN的应用示范,旨在面向低空空域高效运行与安全的重大需求,为下一代空天地一体化网络的进一步发展提供理论依据和技术。

关键词：低空智联网空天地一体化网络低空飞行器资源管理低空空域

Joint 3D Trajectory and Resource Optimization for A UAV Relay-Assisted Cognitive Radio Network

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China Communications 2021年第6期18卷 184-200页

作者： Zhen Wang fuhui zhou Yuhao Wang Qihui Wu School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China School of Information Engineering Nanchang UniversityNanchang 330031China Nanjing University of Aeronautics and Astronautics Nanjing211106China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationXi’an710061China

In this paper,we consider a new spectrum sharing scenario for a cognitive relay network,where a secondary unmanned aerial vehicle(UAV)relay receives information from the ground secondary base station(SBS)and transmits information to the ground secondary user(SU),coexisting with the primary users(PUs)at the same wireless frequency *** investigate the optimization of the UAV relay’s three-dimensional(3D)trajectory to improve the communication throughput performance of the secondary network subject to the interference constraints of the *** information throughput maximization problem is studied by jointly optimizing the UAV relay’s 3D trajectory and the transmit power of the SBS and the UAV,subject to the constraints on the velocity and elevation of the UAV relay,the maximum and average transmit power,and the information causality,as well as a set of interference temperature(IT)*** efficient algorithm is proposed to solve the admittedly challenging non-convex problem by using the path discretization technique,the successive convex approximation technique and the alternating optimization ***,simulation results are provided to show that our proposed design outperforms other benchmark schemes in terms of the throughput。

关键词： cognitive radio UAV communication 3D trajectory design mobile relaying power allocation