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Legitimate monitor by proactive guarding for counter covert communications

Science China(Information Sciences) 2024年第8期67卷 221-237页

作者： Manlin wang Bin XIA jiangzhou wang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University School of Engineering University of Kent

Covert communication has been widely investigated to avoid the transmission behavior being overheard by the warder. However, covert communication may be illegitimately utilized by unauthorized parties to evade the supervision of authorized agencies, which leads to great challenges to information security. To meet the need for authorized parties to monitor and prevent illegitimate transmission between unauthorized nodes, a novel paradigm, called legitimate monitor, is proposed for counter covert communications. In the preceding covert communication system, the covert transmission rate is the focus. Differently,the core concern of the legitimate monitor system is the outage probability of the transmission between unauthorized nodes, which should be maximized to interrupt the potential but undetectable *** achieve these goals effectively, a proactive guarding approach is proposed, where the authorized warder detects the transmission behavior and emits jamming signals to interfere with the potential transmission,simultaneously. In particular, the jamming power at the warder is optimized under cases where the instantaneous/statistical channel state information is available. Besides, the corresponding outage probability is derived to evaluate the system performance, which can also be simplified to scenarios with a passive *** results demonstrate that proactive guarding outperforms the passive one, especially when the warder is not proximal to the unauthorized transmitter. In addition, the proposed jamming power allocation scheme also outperforms other benchmark schemes.

关键词： legitimate monitor counter covert communication full-duplex technology outage probability power allocation optimization

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Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems

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Chinese Journal of Electronics 2024年第2期33卷 536-548页

作者： Weiping SHI Qingqing WU Di WU Feng SHU jiangzhou wang School of Electronic and Optical Engineering Nanjing University of Science and Technology Department of Electronic Engineering Shanghai Jiao Tong University School of Information and Communication Engineering Hainan University Department of Automation Shanghai Jiao Tong University School of Engineering University of Kent

To further improve the performance of passive intelligent reflecting surface(IRS)-assisted communication systems and mitigate the serious path loss due to “double-fading ” of IRS-assisted links, an active IRS-aided simultaneous wireless information and power transfer(SWIPT) system is investigated. This paper jointly optimizes the transmit beamforming at the base station(BS) and the phase shifts at the active IRS in order to maximize the power collected by the energy harvesting receiver under both perfect and imperfect channel state information(CSI)states, subject to the signal-to-interference-noise ratio constraint of the information decoding receiver, and the power constraints of the BS/IRS. Under perfect CSI, the alternating optimization algorithm is utilized for obtaining the transmit beamforming at the BS and the phase shifts at the active IRS. For each subproblem, we first transform nonconvex objective function and constraints into convex ones by performing a first-order Taylor expansion. Then, each subproblem is solved by using the interior point method. Given that obtaining perfect CSI is impractical, two robust beamforming designs are proposed for imperfect CSI case. Under the bounded CSI error model, we first transform the non-convex optimization problem into two semidefinite programming subproblems, and then solve each subproblem based on S-procedure and sequential rank-one constraint relaxation(SROCR) techniques. Under the stochastic CSI error model, the alternating optimization method is applied in an iterative manner based on Bernstein-type inequality and SROCR technique. Simulation results show that both robust and non-robust schemes for active IRS-assisted SWIPT systems can achieve extremely superior performance over conventional passive IRS-assisted systems under the same overall power budget.

关键词： Wireless communication Semidefinite programming Array signal processing Simulation Stochastic processes Transforms Receivers

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Weighted sum power maximization for STAR-RIS-aided SWIPT systems with nonlinear energy harvesting

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Science China(Information Sciences) 2024年第10期67卷 343-358页

作者： Weiping SHI Cunhua PAN Feng SHU Yongpeng WU jiangzhou wang Yongqiang BAO Jin TIAN School of Network and Communication Nanjing Vocational College of Information Technology National Mobile Communications Research Laboratory Southeast University School of Information and Communication Engineering Hainan University School of Electronic and Optical Engineering Nanjing University of Science and Technology Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University School of Engineering University of Kent School of Information and Communication Engineering Nanjing Institute of Technology Engineering School of Networks and Telecommunications Jinling Institute of Technology

The conventional reconfigurable intelligent surface(RIS) is limited to reflecting incident signals,thereby imposing constraints on the placement of the transmitter and receiver, which hinders achieving comprehensive signal coverage across an entire area. This paper investigates a simultaneously transmitting and reflecting(STAR)-RIS-aided simultaneous wireless information and power transfer(SWIPT) system with a nonlinear energy harvesting model under three different RIS transmission protocols: energy splitting(ES),time switching(TS), and mode switching(MS). The objective of this paper is to maximize the weighted sum power(WSP) of all energy harvesting receivers(EHRs) while ensuring fairness in the collected power among them. This is achieved by jointly optimizing the transmit beamforming at the base station(BS)and the transmission and reflection coefficients at the STAR-RIS, subject to rate constraints for information decoding receivers(IDRs), transmit power constraint at the BS, and coefficient constraints of each element at the STAR-RIS corresponding to the three protocols. Solving this optimization problem poses challenges because of the complicated objective function and numerous coupled optimization variables of the ES STAR-RIS. To address this complexity, an efficient alternating optimization(AO) approach is proposed as an iterative solution method that achieves suboptimal results. The AO algorithm is then extended to MS STAR-RIS and TS STAR-RIS. Specifically, for MS STRA-RIS, binary constraints in the STAR-RIS coefficient optimization subproblem are handled using the first-order approximation technique along with the penalty function method. For TS STAR-RIS, apart from optimizing BS transmit beamforming and STAR-RIS coefficients subproblems, the transmission and reflection time allocation of STAR-RIS also needs *** findings demonstrate that compared to conventional RIS-aided systems, utilizing three different protocols in a STAR-RIS-aided sy

关键词： STAR-RIS beamforming SWIPT alternating optimization nonlinear energy harvesting

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Beamforming Design for IRS-and-UAV-Aided Two-Way Amplify-and-Forward Relay Networks in Maritime IoT

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China Communications 2024年第8期21卷 45-61页

作者： wang Xuehui Shu Feng Wu Yuanyuan Shi Weiping Yan Shihao Zhao Yifan Cheng Qiankun Sun Zhongwen wang jiangzhou School of Information and Communication Engineering Hainan UniversityHaikou 570228China Collaborative Innovation Center of Information Technology Hainan UniversityHaikou 570228China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Network and Communication Nanjing Vocational College of Information TechnologyNanjing 210023China School of Science and Security Research Institute Edith Cowan UniversityPerthWA 6027Australia School of Engineering University of KentCanterbury CT27NTU.K

In this paper,an intelligent reflecting surface(IRS)-and-unmanned aerial vehicle(UAV)-assisted two-way amplify-and-forward(AF)relay network in maritime Internet of Things(IoT)is proposed,where ship1(S1)and ship2(S2)can be viewed as data collecting *** enhance the message exchange rate between S1 and S2,a problem of maximizing minimum rate is cast,where the variables,namely AF relay beamforming matrix and IRS phase shifts of two time slots,need to be *** achieve a maximum rate,a low-complexity alternately iterative(AI)scheme based on zero forcing and successive convex approximation(LC-ZF-SCA)algorithm is *** obtain a significant rate enhancement,a high-performance AI method based on one step,semidefinite programming and penalty SCA(ONSSDP-PSCA)is *** results show that by the proposed LC-ZF-SCA and ONS-SDP-PSCA methods,the rate of the IRS-and-UAV-assisted AF relay network surpass those of with random phase and only AF relay ***,ONS-SDP-PSCA perform better than LC-ZF-SCA in aspect of rate.

关键词： beamforming maritime Internet of Things phase shift rate performance two-way amplify-and-forward relay unmanned aerial vehicle

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Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing

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China Communications 2024年第8期21卷 1-17页

作者： Zhang Cui Xu Xiao Wu Qiong Fan Pingyi Fan Qiang Zhu Huiling wang jiangzhou School of Internet of Things Engineering Wuxi Institute of TechnologyWuxi 214121China School of Internet of Things Engineering Jiangnan UniversityWuxi 214122China Department of Electronic Engineering Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084China Qualcomm San Jose CA 95110USA School of Engineering University of KentCT27NT CanterburyU.K

In vehicle edge computing(VEC),asynchronous federated learning(AFL)is used,where the edge receives a local model and updates the global model,effectively reducing the global aggregation *** to different amounts of local data,computing capabilities and locations of the vehicles,renewing the global model with same weight is *** above factors will affect the local calculation time and upload time of the local model,and the vehicle may also be affected by Byzantine attacks,leading to the deterioration of the vehicle ***,based on deep reinforcement learning(DRL),we can consider these factors comprehensively to eliminate vehicles with poor performance as much as possible and exclude vehicles that have suffered Byzantine attacks before *** the same time,when aggregating AFL,we can focus on those vehicles with better performance to improve the accuracy and safety of the *** this paper,we proposed a vehicle selection scheme based on DRL in *** this scheme,vehicle’s mobility,channel conditions with temporal variations,computational resources with temporal variations,different data amount,transmission channel status of vehicles as well as Byzantine attacks were taken into *** results show that the proposed scheme effectively improves the safety and accuracy of the global model.

关键词： asynchronous federated learning byzantine attacks vehicle selection vehicular edge computing

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Preface: Security and privacy for space-air-ground integrated networks

Security and Safety

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Security and Safety 2024年第2期 4-5页

作者： jiangzhou wang Yue Gao Cheng Huang Haojin Zhu School of Engineering University of Kent School of Computer Science Fudan University Department of Computer Science and Engineering Shanghai Jiao Tong University

Space-air-ground integrated networks(SAGINs) address the limitations of terrestrial networks by integrating satellites in various orbits, aerial drones, and ground networks to enhance network coverage and reliability. This integration aims to ensure seamless communication across vast and remote areas,significantly expanding the reach of network services. Additionally, SAGINs are designed to support a high degree of network resilience and adaptability, facilitating advanced applications such as real-time data processing and global internet connectivity.

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“语义通信的数学理论”序言

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通信学报 2024年第6期45卷 1-6页

作者：王江舟中国工程院英国皇家工程院 IEEE IET 英国肯特大学

客观世界由物质、能量和信息组成。探索和利用信息是信息时代的主要驱动力。回顾信息与通信的历史,如180年的经典通信和半个世纪的移动通信,我们看到了诸多通信技术的杰出成就,如超高速光通信、卫星通信、互联网、3G/4G/5G移动通信等。

关键词：卫星通信 3G/4G 互联网探索和利用信息时代信息与通信杰出成就

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面向6G近场海洋通信信道建模与信号传播机理研究

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电子与信息学报 2024年

作者：江浩石旺旗朱秋明束锋 wang jiangzhou 南京信息工程大学人工智能学院东南大学移动通信国家重点实验室南京航空航天大学电子信息工程学院海南大学信息与通信工程学院英国肯特大学工学院

可重构智能超表面(RIS)作为6G移动通信中的潜在关键技术之一，具有低成本、低能耗和易于部署等特点。该文提出将RIS技术引入至海洋无线通信场景中，可使无线传输环境从不可控变为可控。然而，现有的信道模型难以充分揭示RIS使能基站-海... 详细信息

可重构智能超表面(RIS)作为6G移动通信中的潜在关键技术之一，具有低成本、低能耗和易于部署等特点。该文提出将RIS技术引入至海洋无线通信场景中，可使无线传输环境从不可控变为可控。然而，现有的信道模型难以充分揭示RIS使能基站-海面无人船近场通信信号独特的传输机理，信道特性分析方法与建模理论难以在计算准确性与复杂度之间实现平衡。因此，该文通过对RIS使能近场海洋通信中各子信道进行建模，提出空时频多域信号传播机理分析方法，建立RIS使能基站-无人船近场海洋通信参数化统计信道模型，解决现有RIS信道建模方法难以兼顾精度与效率的技术瓶颈问题，提高RIS使能近场海洋通信系统设计过程中的信道模型匹配效率，为我国6G移动通信产业的快速发展提供技术支撑。

关键词：可重构智能超表面近场通信信道模型海洋通信

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基于感通算融合和信息年龄优化的车联网多节点协同感知

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通信学报 2024年第3期45卷 1-16页

作者：周一青张浩岳齐彦丽蔡青刘玲王江舟中国科学院计算技术研究所处理器芯片全国重点实验室北京100190 中国科学院大学计算机科学与技术学院北京100049 移动计算与新型终端北京市重点实验室北京100190 肯特大学工学院坎特伯雷CT27NZ

面向未来自动驾驶系统中的实时性业务需求(如高清地图更新),基于感知-通信-计算融合,引入信息年龄作为实时性度量,设计感通算融合的车联网多节点协同感知机制。在通信-计算资源和车辆能耗约束下,优化调度感知节点信息采集和传输处理,最... 详细信息

面向未来自动驾驶系统中的实时性业务需求(如高清地图更新),基于感知-通信-计算融合,引入信息年龄作为实时性度量,设计感通算融合的车联网多节点协同感知机制。在通信-计算资源和车辆能耗约束下,优化调度感知节点信息采集和传输处理,最小化感知信息的平均信息年龄;提出基于李雅普诺夫的在线调度算法,将复杂的长期随机优化问题转化为单时隙在线优化问题,并设计低复杂度算法求解。仿真表明,与现有仅考虑通信与计算融合的机制相比,所提机制信息实时性可提高9%~50%。

关键词：自动驾驶感知信息实时性感知-通信-计算融合信息年龄李雅普诺夫随机优化

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TDD reciprocity calibration for multi-user massive MIMO systems with iterative coordinate descent

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Science China(Information Sciences) 2016年第10期59卷 93-102页

作者： Hao WEI Dongming wang jiangzhou wang Xiaohu YOU National Mobile Communications Research Laboratory Southeast University School of Engineering and Digital Arts University of Kent

For massive multiple-input multiple-output(MIMO) antenna systems, time division duplexing(TDD) is preferred since the downlink precoding matrix can be obtained through the uplink channel estimation,thanks to the channel reciprocity. However, the mismatches of the transceiver radio frequency(RF) circuits at both sides of the link make the whole communication channel non-symmetric. This paper extends the total least square(TLS) method to the case of self-calibration, where only the antennas of the access points(APs) are involved to exchange the calibration signals with each other and the feedback from the user equipments(UEs)is not required. Then, the proof of the equivalence between the TLS method and the least square(LS) method is presented. Furthermore, to avoid the eigenvalue decomposition required by these two methods to obtain the calibration coefficients, a novel algorithm named as iterative coordinate descent(ICD) method is *** analysis and simulation results show that the ICD method significantly reduces the complexity and achieves almost the same performance of the LS method.

关键词： TDD reciprocity calibration total least squares coordinate descent large-scale MIMO

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