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Joint Computing and communication Resource Allocation for Edge Computing towards Huge LEO Networks

China communications 2022年第8期19卷 73-84页

作者： Min Jia Liang Zhang Jian Wu Qing Guo Xuemai Gu Communication Research Center School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbin 150080China

The satellite-terrestrial cooperative network is considered an emerging network architecture,which can adapt to various services and applications in the future communication *** recent years,the combination of satellite communication and Mobile Edge Computing(MEC)has become an emerging research *** edge computing can provide users with full coverage on-orbit computing services by deploying MEC servers on *** paper studies the task offloading of multi-user and multi-edge computing satellites and proposes a novel algorithm that joint task offloading and communication computing resource optimization(JTO-CCRO).The JTO-CCRO is decoupled into task offloading and resource allocation *** the mutual iteration of the two sub-problems,the system utility function can be further *** the task offloading sub-problem,it is first confirmed that the offloading problem is a game *** offloading strategy can be obtained from the Nash equilibrium *** confirm resource optimization sub-problem is a convex optimization problem that can be solved by the Lagrange multiplier *** shows that the JTO-CCRO algorithm can converge quickly and effectively reduce the system utility function.

关键词： satellite edge computing task offloading resource allocation potential game nash equilibrium

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Multi-agent deep reinforcement learning with traffic flow for traffic signal control

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Journal of Control and Decision 2025年第1期12卷 81-92页

作者： Liang Hou Dailin Huang Jie Cao Jialin Ma College of Computer and Communication Lanzhou University of TechnologyLanzhouPeople’s Republic of China Engineering Research Center of Manufacturing Information of Gansu Province LanzhouPeople’s Republic of China

Multi-agent Reinforcement Learning(MARL)has become one of the best methods in Adaptive Traffic Signal Control(ATSC).Traffic flow is a very regular traffic volume,which is highly critical to signal control ***,dynamic control policies will directly affect traffic flow formation,and it is impossible to provide observation through the original traffic flow *** paper proposes a method for estimating traffic flow according to the time window in Reinforcement Learning(RL)***,it is verified on both the regular road network and the real road *** method further reduces the intersection delay and queue length compared with the original method.

关键词： Multi-agent reinforcement learning actor-critic adaptive traffic signal control traffic flow

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Efficient generation of polarization multiplexed OAM using levitated metasurfaces

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Frontiers of physics 2025年第1期20卷 253-261页

作者： Sihan Cui Xiaojun Huang Cuizhen Sun Helin Yang Xiaoyan Li College of Communication and Information Engineering Xi’an University of Science and TechnologyXi’an 710054China Engineering Research Center of Smart Coal Mine Advanced Communication Technology Universities of Shaanxi ProvinceXi’an 710054China College of Physical Science and Technology Central China Normal UniversityWuhan 430079China College of Physical Science and Technology Northwestern Polytechnical UniversityXi’an 710129China

Dual-polarization(DP)vortex waves(VWs)are widely applied in optical,electromagnetic,and quantum science owing to their ability to simultaneously convey two distinct and non-interfering orbital angular momentums(OAMs).Here,we propose a lightweight levitated meta-atom to achieve 360°phase control with a difference of no more than 1°while maximizing the reflection *** combination with convergent phase modulation,a OAM metasurface array that facilitates the generation of DP VWs with high mode purity and low divergence angles was *** measured DP VW bearing mode l=1 had only 4°divergence angle and 84%mode purity at 5.8 ***,DP VWs with integer,fractional(l=1.5)and higher order(l=8)modes are discussed based on an OAM purity spectrum *** experimental results were consistent with the simulation results,demonstrating the practicality of the proposed DP OAM metasurface and its potential applications in the field of multithreaded communication systems.

关键词： dual-polarization orbital angular momentum low divergence angles high mode purity

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Constellation shaping optimization for nonlinearity mitigation in CAP UVLC system

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Science China(information Sciences) 2023年第9期66卷 274-290页

作者： Junlian JIA Junwen ZHANG Nan CHI Key Laboratory for Information Science of Electromagnetic Waves(MoE) Fudan University Shanghai Engineering Research Center of Low-Earth-Orbit Satellite Communication and Applications Shanghai Collaborative Innovation Center of Low-Earth-Orbit Satellite Communication Technology Peng Cheng Laboratory

In the sixth-generation communication(6G), wireless communication will cover not only conventional air links but also underwater links. Underwater visible light communication(UVLC) is an expected technique that achieves a high data rate. However, UVLC systems suffer from severe nonlinear distortions for the high-power transmitting, thus nonlinear compensation is vital to the system. Carrier-less amplitude and phase(CAP) modulation is a promising modulation, especially for the scenes with high nonlinear *** this paper, for the first time, we proposed a constellation optimization method for the UVLC system supporting the native artificial intelligence in 6G. The proposed framework, based on the complete process of the CAP modulation and demodulation, fulfills an end-to-end learning scheme with a neural network at the transmitter side and the conventional demodulation processes at the receiver side. A loss function is further designed to support the training without needing a fixed signal-to-noise ratio(SNR). The proposed framework is simulated and then tested in an experiment. In a 1.2-meter nonlinear UVLC channel, compared with 1.5 Gbit/s supported by the conventional grid encoding, the proposed method brings an extra 200 Mbit/s data rate.

关键词： underwater visible light communication nonlinearity compensation constellation optimization

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MEMS and MOEMS Gyroscopes: A Review

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Photonic Sensors 2023年第4期13卷 73-98页

作者： Wenyi HUANG Xing YAN Sengyu ZHANG Zhe LI Jamal NAHASSAN Dingwei CHEN Guangjun WEN Kai CHEN Guangwei DENG Yongjun HUANG School of Information and Communication Engineering Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoTUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

Micro-gyroscopes using micro-electro-mechanical system(MEMS)and micro-optoelectro-mechanical system(MOEMS)are the new-generation and recently well-developed gyroscopes produced by the combinations of the traditional gyroscope technology and MEMS/MOEMS *** to the working principle and used materials,the newly-reported micro-gyroscopes in recent years include the silicon-based micromechanical vibratory gyroscope,hemispherical resonant gyroscope,piezoelectric vibratory gyroscope,suspended rotor gyroscope,microfluidic gyroscope,optical gyroscope,and atomic *** to different sensitive structures,the silicon-based micromechanical vibratory gyroscope can also be divided into double frame type,tuning fork type,vibrating ring type,and nested ring *** those micro-gyroscopes,in recent years,many emerging techniques are proposed and developed to enhance different aspects of performances,such as the sensitivity,angle random walk(ARW),bias instability(BI),and ***,this paper will firstly review the main performances and applications of those newly-developed MEMS/MOEMS gyroscopes,then comprehensively summarize and analyze the latest research progress of the micro-gyroscopes mentioned above,and finally discuss the future development trends of MEMS/MOEMS gyroscopes.

关键词： Micro-gyroscope MEMS MOEMS angular random walk bias instability

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Superior multiphase interfaces in AgCuTe-based composite with significantly enhanced thermoelectric properties

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Journal of Advanced Ceramics 2023年第8期12卷 1511-1520页

作者： Wenpei Li Zhonghai Yu Chengyan Liu Ying Peng Baoquan Feng Jie Gao Guojing Wu Xiaobo Bai Junliang Chen Xiaoyang Wang Lei Miao Guangxi Key Laboratory of Information Materials Electronical Information Materials and Devices Engineering Research Center of Ministry of EducationSchool of Materials Science and EngineeringGuilin University of Electronic TechnologyGuilin 541004China Guangxi Key Laboratory of Precision Navigation Technology and Application School of Information and CommunicationGuilin University of Electronic TechnologyGuilin 541004China

It is common sense that a phase interface(or grain boundary)could be used to scatter phonons in thermoelectric(TE)materials,resulting in low thermal conductivity(k).However,a large number of impurity phases are always so harmful to the transport of carriers that poor TE performance is ***,we demonstrate that numerous superior multiphase(AgCuTe,Ag_(−2)Te,copper telluride(Cu_(2)Te and Cu_(2−x)Te),and nickel telluride(NiTe))interfaces with simultaneous strong phonon scattering and weak electron scattering could be realized in AgCuTe-based TE *** to the similar chemical bonds in these phases,the depletion region at phase interfaces,which acts as carrier scattering centers,could be ***,the power factor(PF)is obviously enhanced from~609 to~832μW·m^(−1)·K^(−2),and k is simultaneously decreased from~0.52 to~0.43 W·m^(−1)·K^(−1) at 636 ***,a peak figure of merit(zT)of~1.23 at 636 K and an average zT(zTavg)of~1.12 in the temperature range of 523–623 K are achieved,which are one of the best values among the AgCuTe-based TE *** study could provide new guidance to enhance the performance by designing superior multiphase interfaces in the TE materials.

关键词： thermoelectric(TE)materials AgCuTe phase interface carrier scattering phonon scattering

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Prediction of vertical displacement for a buried pipeline subjected to normal fault using a hybrid FEM-ANN approach

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Frontiers of Structural and Civil engineering 2024年第3期18卷 428-443页

作者： Hedye JALALI Reza YEGANEH KHAKSAR Danial MOHAMMADZADEH S. Nader KARBALLAEEZADEH Amir H.GANDOMI Department of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Department of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Faculty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia University Research and Innovation Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault movement during earthquakes is a geotechnical phenomenon threatening buried pipelines and with the potential to cause severe damage to critical ***,effective prediction of pipe displacement is crucial for preventive management *** study aims to develop a fast,hybrid model for predicting vertical displacement of pipe networks when they experience *** this study,the complex behavior of soil and a buried pipeline system subjected to a normal fault is analyzed by using an artificial neural network(ANN)to generate predictions the behavior of the soil when different parameters of it are *** this purpose,a finite element model is developed for a pipeline subjected to normal fault *** data bank used for training the ANN includes all the critical soil parameters(cohesion,internal friction angle,Young’s modulus,and faulting).Furthermore,a mathematical formula is presented,based on biases and weights of the ANN *** results show that the maximum error of the presented formula is 2.03%,which makes the proposed technique efficiently predict the vertical displacement of buried pipelines and hence,helps to optimize the upcoming pipeline projects.

关键词： buried pipelines normal Fault finite element method multilayer perceptron neural network formulation

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Activation Distance and Capacity Analysis for Ambient Backscatter communications with Sensitivity Constraint and Beamforming

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China communications 2024年第11期21卷 257-266页

作者： Mu Yunping Fan Dian Wang Gongpu Xu Yongjun Kuang Lei Engineering Research Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijing 100044China China Academy of Information and Communications Technology Beijing 100191China School of Communication and Information Engineering Chongqing University of Posts and TelemcommunicationsChongqing 400065China Shanghai Key Laboratory of Multidimensional Information Processing Engineering Center of SHMEC for Space Information and GNSSSchool of Information Science and TechnologyEast China Normal UniversityShanghai 200241China

Circuit sensitivity of sensors or tags without battery is one practical constraint for ambient backscatter communication *** letter considers using beamforming to reduce the sensitivity constraint and evaluates the corresponding performance in terms of the tag activation distance and the system ***,we derive the activation probabilities of the tag in the case of single-antenna and multi-antenna ***,we obtain the capacity expressions for the ambient backscatter communication system with beamforming and illustrate the power allocation that maximizes the system capacity when the tag is ***,simulation results are provided to corroborate our proposed studies.

关键词： activation distance ambient backscatter communications beamforming channel capacity power allocation sensitivity

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Intelligent recognition and information extraction of radar complex jamming based on time-frequency features

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Journal of Systems engineering and Electronics 2024年第5期35卷 1148-1166页

作者： PENG Ruihui WU Xingrui WANG Guohong SUN Dianxing YANG Zhong LI Hongwen College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China Qingdao Innovation and Development Center Harbin Engineering UniversityQingdao 266000China Information Fusion Research Institute Naval Aeronautical UniversityYantai 264001China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of EngineeringWuhan 430033China

In modern war,radar countermeasure is becoming increasingly fierce,and the enemy jamming time and pattern are changing more *** is challenging for the radar to efficiently identify jamming and obtain precise parameter information,particularly in low signal-to-noise ratio(SNR)*** this paper,an approach to intelligent recognition and complex jamming parameter estimate based on joint time-frequency distribution features is proposed to address this challenging ***,a joint algorithm based on YOLOv5 convolutional neural networks(CNNs)is proposed,which is used to achieve the jamming signal classification and preliminary parameter ***,an accurate jamming key parameters estimation algorithm is constructed by comprehensively utilizing chi-square statistical test,feature region search,position regression,spectrum interpolation,etc.,which realizes the accurate estimation of jamming carrier frequency,relative delay,Doppler frequency shift,and other ***,the approach has improved performance for complex jamming recognition and parameter estimation under low SNR,and the recognition rate can reach 98%under−15 dB SNR,according to simulation and real data verification results.

关键词： complex jamming recognition time frequency feature convolutional neural network(CNN) parameter estimation

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A Blockchain-Based Efficient Cross-Domain Authentication Scheme for Internet of Vehicles

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Computers, Materials & Continua 2024年第7期80卷 567-585页

作者： Feng Zhao Hongtao Ding Chunhai Li Zhaoyu Su Guoling Liang Changsong Yang Guangxi Engineering Research Center of Industrial Internet Security and Blockchain Guilin University of Electronic TechnologyGuilin541004China School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin541004China

The Internet of Vehicles(IoV)is extensively deployed in outdoor and open environments to effectively address traffic efficiency and safety issues by connecting vehicles to the ***,due to the open and variable nature of its network topology,vehicles frequently engage in cross-domain *** such processes,directly uploading sensitive information to roadside units for interaction may expose it to malicious tampering or interception by attackers,thus compromising the security of the cross-domain authentication ***,IoV imposes high real-time requirements,and existing cross-domain authentication schemes for IoV often encounter efficiency *** mitigate these challenges,we propose CAIoV,a blockchain-based efficient cross-domain authentication scheme for *** scheme comprehensively integrates technologies such as zero-knowledge proofs,smart contracts,and Merkle hash tree *** divides the cross-domain process into anonymous cross-domain authentication and safe cross-domain authentication phases to ensure efficiency while maintaining a balance between efficiency and ***,we evaluate the performance of *** results demonstrate that our proposed scheme reduces computational overhead by approximately 20%,communication overhead by around 10%,and storage overhead by nearly 30%.

关键词： Blockchain cross-domain authentication internet of vehicle zero-knowledge proof

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