In this study,a real-time rotor temperature monitoring system for large turbogenerators using SmartMesh IP wireless network communication technology was designed and tested.The system is capable of providing comprehen...In this study,a real-time rotor temperature monitoring system for large turbogenerators using SmartMesh IP wireless network communication technology was designed and tested.The system is capable of providing comprehensive,accurate,continuous,and reliable real-time temperature monitoring for turbogenerators.Additionally,it has demonstrated satisfactory results in a real-time monitoring test of the rotor temperature of various famous large-scale turbogenerators and giant nuclear power half-speed turbogenerators designed and manufactured in China.The development and application of this wireless temperature measurement system would aid in improving the intelligent operation quality,safety,and stability of China’s large turbine generators and even the entire power system.展开更多
When integrating data encryption technology into the security management of computer network communication, it is necessary to select the corresponding technical scheme according to the characteristics of the current ...When integrating data encryption technology into the security management of computer network communication, it is necessary to select the corresponding technical scheme according to the characteristics of the current network environment, clarify the types and application characteristics of security protection technology, improve the security management mode, and prevent people from using computers. The current security management scheme is gradually improved, so that the application advantages of data encryption technology can be fully highlighted and peoples information security can be maintained.展开更多
The development trend of PLC is that the functions are more, the integration level is greater and the network function is greater. Nowadays, the manufacturers of PLC develop there own network. PLC technique has two de...The development trend of PLC is that the functions are more, the integration level is greater and the network function is greater. Nowadays, the manufacturers of PLC develop there own network. PLC technique has two development trends. On one hand, PLC network system is not a self-contained closed system any longer and develops towards open system. Various PLC not only has distinctive PLC network systems and completes device control task, but also network with the superior computer management system to realize information exchange, which makes it become one part of information management system. On the other hand, the field-bus technique is widely applied. PLC is connected with the intelligent equipments installed on site such as intelligent instrument, sensor, intelligent solenoid valve, intelligent drive actuator by a transmission media ( such as twisted pair, coaxial cable and cable), and they transmit information mutually according to the same communication protocol, which can form a field industrial control network. Compared with single PLC remote network, the network not only has the advantages of flexible configurations, easy expansion, low cost and higher cost perfomaance, but also has opening significance.展开更多
The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating ...The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network.展开更多
Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient lon...Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.展开更多
This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric commu-nication networks for proper active power sharing of distributed energy resources(DERs)while maintaining freq...This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric commu-nication networks for proper active power sharing of distributed energy resources(DERs)while maintaining frequency stability.With the normalized active power consensus(NAPC)-based droop-free control which can share the load among controllable DERs in proportion to their available capacities,this paper,for the first time,proves the asymptotic stability of NAPC-based droop-free control with asymmetric communication networks,by testifying that all effective eigenvalues have negative real parts.The stability margin under both symmetric and asymmetric designs is analyzed with respect to different system sizes,demonstrating that droop-free control with asymmetric communication networks is more suitable for large system implementations.Moreover,different Laplacian matrix designs of the asymmetric communication network,i.e.,zero columnow sum,are analyzed comparatively.Case studies demonstrate that communication networks with the zero row sum Laplacian matrix will lead to equal normalized active power sharing against disturbances,and a zero column sum can maintain the average nodal frequency at 60 Hz.展开更多
In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilizati...In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilization of the electromagnetic spectrum is the key for overcoming bottlenecks in multi-domain coordination.From real-time situation awareness,to seamless flow of all-domain information,to efficient interconnection of massive terminals,complex scenarios present unprecedented challenges to the timeliness,reliability,and anti-interference of information exchange.展开更多
AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to ...AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to meet the great potential increase in the number of agents.AI agents are expected to become new users but with quite different traffic patterns,varying quality of service(QoS)requirements,and multi-modality data.展开更多
In recent years,intensified environmental pollution and climate change have increasingly exposed the world to natural disasters such as earthquakes and floods,resulting in substantial economic losses[1].These disaster...In recent years,intensified environmental pollution and climate change have increasingly exposed the world to natural disasters such as earthquakes and floods,resulting in substantial economic losses[1].These disasters frequently damage terrestrial communication infrastructures,making the rapid deployment of emergency communication networks in affected areas critical in increasing rescue efficiency[2].展开更多
This paper studies the problem of jamming decision-making for dynamic multiple communication links in wireless communication networks(WCNs).We propose a novel jamming channel allocation and power decision-making(JCAPD...This paper studies the problem of jamming decision-making for dynamic multiple communication links in wireless communication networks(WCNs).We propose a novel jamming channel allocation and power decision-making(JCAPD)approach based on multi-agent deep reinforcement learning(MADRL).In high-dynamic and multi-target aviation communication environments,the rapid changes in channels make it difficult for sensors to accurately capture instantaneous channel state information.This poses a challenge to make centralized jamming decisions with single-agent deep reinforcement learning(DRL)approaches.In response,we design a distributed multi-agent decision architecture(DMADA).We formulate multi-jammer resource allocation as a multiagent Markov decision process(MDP)and propose a fingerprint-based double deep Q-Network(FBDDQN)algorithm for solving it.Each jammer functions as an agent that interacts with the environment in this framework.Through the design of a reasonable reward and training mechanism,our approach enables jammers to achieve distributed cooperation,significantly improving the jamming success rate while considering jamming power cost,and reducing the transmission rate of links.Our experimental results show the FBDDQN algorithm is superior to the baseline methods.展开更多
With the rapid development of network technologies,a large number of deployed edge devices and information systems generate massive amounts of data which provide good support for the advancement of data-driven intelli...With the rapid development of network technologies,a large number of deployed edge devices and information systems generate massive amounts of data which provide good support for the advancement of data-driven intelligent models.However,these data often contain sensitive information of users.Federated learning(FL),as a privacy preservation machine learning setting,allows users to obtain a well-trained model without sending the privacy-sensitive local data to the central server.Despite the promising prospect of FL,several significant research challenges need to be addressed before widespread deployment,including network resource allocation,model security,model convergence,etc.In this paper,we first provide a brief survey on some of these works that have been done on FL and discuss the motivations of the Communication Networks(CNs)and FL to mutually enable each other.We analyze the support of network technologies for FL,which requires frequent communication and emphasizes security,as well as the studies on the intelligence of many network scenarios and the improvement of network performance and security by the methods based on FL.At last,some challenges and broader perspectives are explored.展开更多
Quantum communication networks,such as quantum key distribution(QKD)networks,typically employ the measurement-resend mechanism between two users using quantum communication devices based on different quantum encoding ...Quantum communication networks,such as quantum key distribution(QKD)networks,typically employ the measurement-resend mechanism between two users using quantum communication devices based on different quantum encoding types.To achieve direct communication between the devices with different quantum encoding types,in this paper,we propose encoding conversion schemes between the polarization bases(rectilinear,diagonal and circular bases)and the time-bin phase bases(two phase bases and time-bin basis)and design the quantum encoding converters.The theoretical analysis of the encoding conversion schemes is given in detail,and the basis correspondence of encoding conversion and the property of bit flip are revealed.The conversion relationship between polarization bases and time-bin phase bases can be easily selected by controlling a phase shifter.Since no optical switches are used in our scheme,the converter can be operated with high speed.The converters can also be modularized,which may be utilized to realize miniaturization in the future.展开更多
When tracking a unmanned aerial vehicle(UAV)in complex backgrounds,environmen-tal noise and clutter often obscure it.Traditional radar target tracking algorithms face multiple lim-itations when tracking a UAV,includin...When tracking a unmanned aerial vehicle(UAV)in complex backgrounds,environmen-tal noise and clutter often obscure it.Traditional radar target tracking algorithms face multiple lim-itations when tracking a UAV,including high vulnerability to target occlusion and shape variations,as well as pronounced false alarms and missed detections in low signal-to-noise ratio(SNR)envi-ronments.To address these issues,this paper proposes a UAV detection and tracking algorithm based on a low-frequency communication network.The accuracy and effectiveness of the algorithm are validated through simulation experiments using field-measured point cloud data.Additionally,the key parameters of the algorithm are optimized through a process of selection and comparison,thereby improving the algorithm's precision.The experimental results show that the improved algo-rithm can significantly enhance the detection and tracking performance of the UAV under high clutter density conditions,effectively reduce the false alarm rate and markedly improve overall tracking performance metrics.展开更多
As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network archite...As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network architectures,designed for content-agnostic data transmission,struggle to accommodate the bursty,reasoning-driven traffic patterns and rigorous multimodal synchronization requirements of autonomous agents.This paper surveys the AI-agent communication network(ACN),aiming to bridge the gap between static network resources and dynamic agent tasks.We analyze the evolution from bit-oriented transmission to agentic syntax protocols,which enable intentbased signaling and semantic compression.Furthermore,we explore mechanisms for multi-agent collaborative consensus and distributed decision-making under the constraints of unstable wireless environments.We critically focus on task-driven dynamic networking,examining how integrated sensing,communication,and computing(ISCC)and network-embedded agents(NEA)facilitate the real-time generation of task graphs and intent-aware traffic scheduling.To synthesize these technologies,we propose a reference framework,the Deep-Agentic Network Architecture(DAN-Arch),which vertically integrates physical-layer sensing with application-layer reasoning flows.Finally,open challenges regarding energy efficiency,cross-domain governance,and 3GPP standardization pathways are discussed to guide future research towards a fully agent-native 6G ecosystem.展开更多
Meteor Burst Communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient lon...Meteor Burst Communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.展开更多
This paper focuses on the research of MPLS VPN technology in the ocean information communication network.Through the analysis of the current situation of the ocean information communication network,the architecture de...This paper focuses on the research of MPLS VPN technology in the ocean information communication network.Through the analysis of the current situation of the ocean information communication network,the architecture design of MPLS VPN technology in the ocean information communication network and the important role of RD value and RT value in the VPN instances,the matching strategies of import RT and export RT of different VPN instances are verified through experiments.展开更多
Benefit from the enhanced onboard processing capacities and high-speed satellite-terrestrial links,satellite edge computing has been regarded as a promising technique to facilitate the execution of the computation-int...Benefit from the enhanced onboard processing capacities and high-speed satellite-terrestrial links,satellite edge computing has been regarded as a promising technique to facilitate the execution of the computation-intensive applications for satellite communication networks(SCNs).By deploying edge computing servers in satellite and gateway stations,SCNs can achieve significant performance gains of the computing capacities at the expense of extending the dimensions and complexity of resource management.Therefore,in this paper,we investigate the joint computing and communication resource management problem for SCNs to minimize the execution latency of the computation-intensive applications,while two different satellite edge computing scenarios and local execution are considered.Furthermore,the joint computing and communication resource allocation problem for the computation-intensive services is formulated as a mixed-integer programming problem.A game-theoretic and many-to-one matching theorybased scheme(JCCRA-GM)is proposed to achieve an approximate optimal solution.Numerical results show that the proposed method with low complexity can achieve almost the same weight-sum latency as the Brute-force method.展开更多
As a result of rapid development in electronics and communication technology,large-scale unmanned aerial vehicles(UAVs)are harnessed for various promising applications in a coordinated manner.Although it poses numerou...As a result of rapid development in electronics and communication technology,large-scale unmanned aerial vehicles(UAVs)are harnessed for various promising applications in a coordinated manner.Although it poses numerous advantages,resource management among various domains in large-scale UAV communication networks is the key challenge to be solved urgently.Specifically,due to the inherent requirements and future development trend,distributed resource management is suitable.In this article,we investigate the resource management problem for large-scale UAV communication networks from game-theoretic perspective which are exactly coincident with the distributed and autonomous manner.By exploring the inherent features,the distinctive challenges are discussed.Then,we explore several gametheoretic models that not only combat the challenges but also have broad application prospects.We provide the basics of each game-theoretic model and discuss the potential applications for resource management in large-scale UAV communication networks.Specifically,mean-field game,graphical game,Stackelberg game,coalition game and potential game are included.After that,we propose two innovative case studies to highlight the feasibility of such novel game-theoretic models.Finally,we give some future research directions to shed light on future opportunities and applications.展开更多
In power communication networks,it is a challenge to decrease the risk of different services efficiently to improve operation reliability.One of the important factor in reflecting communication risk is service route d...In power communication networks,it is a challenge to decrease the risk of different services efficiently to improve operation reliability.One of the important factor in reflecting communication risk is service route distribution.However,existing routing algorithms do not take into account the degree of importance of services,thereby leading to load unbalancing and increasing the risks of services and networks.A routing optimization mechanism based on load balancing for power communication networks is proposed to address the abovementioned problems.First,the mechanism constructs an evaluation model to evaluate the service and network risk degree using combination of devices,service load,and service characteristics.Second,service weights are determined with modified relative entropy TOPSIS method,and a balanced service routing determination algorithm is proposed.Results of simulations on practical network topology show that the mechanism can optimize the network risk degree and load balancing degree efficiently.展开更多
In this paper, a Stackelberg differential game based approach is proposed to solve the bandwidth allocation problems in satellite communication network. All the satellites are divided into two groups, one has high dow...In this paper, a Stackelberg differential game based approach is proposed to solve the bandwidth allocation problems in satellite communication network. All the satellites are divided into two groups, one has high download requirements, and the other one has low download requirements. Each satellites group has its own controller for bandwidth allocation, and can get payments from the satellites for the allocated resources. The relationships between the controllers and satellites are formed as a Stackelberg game. In our model, differential equation is introduced to describe the bandwidth dynamics for the whole satellite communication network. Combine the differential equation and Stackelberg game together, we can formulate the bandwidth allocation problems in satellite communication network as a Stackelber differential game. The solutions to the proposed game is solved based the Bellman dynamic equations. Numerical simulations are given to prove the effeteness and correctness of the proposed approach.展开更多
基金supported by the National Natura Science Foundation of China (NSFC), No.51607146China National Major Science and Technology Projects 2010ZX06004-013-04-02 and 2012ZX06002-017-02-01+1 种基金Sichuan Science and Technology Program,No.2018GZ0391Sichuan Hydropower Energy and power equipment technology Engineering Research Center, Xihua university, Chengdu 610039, China,No.SDNY2020-001
摘要In this study,a real-time rotor temperature monitoring system for large turbogenerators using SmartMesh IP wireless network communication technology was designed and tested.The system is capable of providing comprehensive,accurate,continuous,and reliable real-time temperature monitoring for turbogenerators.Additionally,it has demonstrated satisfactory results in a real-time monitoring test of the rotor temperature of various famous large-scale turbogenerators and giant nuclear power half-speed turbogenerators designed and manufactured in China.The development and application of this wireless temperature measurement system would aid in improving the intelligent operation quality,safety,and stability of China’s large turbine generators and even the entire power system.
摘要When integrating data encryption technology into the security management of computer network communication, it is necessary to select the corresponding technical scheme according to the characteristics of the current network environment, clarify the types and application characteristics of security protection technology, improve the security management mode, and prevent people from using computers. The current security management scheme is gradually improved, so that the application advantages of data encryption technology can be fully highlighted and peoples information security can be maintained.
摘要The development trend of PLC is that the functions are more, the integration level is greater and the network function is greater. Nowadays, the manufacturers of PLC develop there own network. PLC technique has two development trends. On one hand, PLC network system is not a self-contained closed system any longer and develops towards open system. Various PLC not only has distinctive PLC network systems and completes device control task, but also network with the superior computer management system to realize information exchange, which makes it become one part of information management system. On the other hand, the field-bus technique is widely applied. PLC is connected with the intelligent equipments installed on site such as intelligent instrument, sensor, intelligent solenoid valve, intelligent drive actuator by a transmission media ( such as twisted pair, coaxial cable and cable), and they transmit information mutually according to the same communication protocol, which can form a field industrial control network. Compared with single PLC remote network, the network not only has the advantages of flexible configurations, easy expansion, low cost and higher cost perfomaance, but also has opening significance.
摘要The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network.
摘要Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.
基金supported by the Army Combat Capabilities Development Command(CCDC)project on Resiliency of Energy Resources and Supply Chain for the Industrial Base and the PSEG Foundation gift.
摘要This paper presents a stability analysis of droop-free controlled islanded microgrids with asymmetric commu-nication networks for proper active power sharing of distributed energy resources(DERs)while maintaining frequency stability.With the normalized active power consensus(NAPC)-based droop-free control which can share the load among controllable DERs in proportion to their available capacities,this paper,for the first time,proves the asymptotic stability of NAPC-based droop-free control with asymmetric communication networks,by testifying that all effective eigenvalues have negative real parts.The stability margin under both symmetric and asymmetric designs is analyzed with respect to different system sizes,demonstrating that droop-free control with asymmetric communication networks is more suitable for large system implementations.Moreover,different Laplacian matrix designs of the asymmetric communication network,i.e.,zero columnow sum,are analyzed comparatively.Case studies demonstrate that communication networks with the zero row sum Laplacian matrix will lead to equal normalized active power sharing against disturbances,and a zero column sum can maintain the average nodal frequency at 60 Hz.
摘要In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilization of the electromagnetic spectrum is the key for overcoming bottlenecks in multi-domain coordination.From real-time situation awareness,to seamless flow of all-domain information,to efficient interconnection of massive terminals,complex scenarios present unprecedented challenges to the timeliness,reliability,and anti-interference of information exchange.
摘要AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to meet the great potential increase in the number of agents.AI agents are expected to become new users but with quite different traffic patterns,varying quality of service(QoS)requirements,and multi-modality data.
基金supported in part by the National Natural Science Foundation of China(U2441226).
摘要In recent years,intensified environmental pollution and climate change have increasingly exposed the world to natural disasters such as earthquakes and floods,resulting in substantial economic losses[1].These disasters frequently damage terrestrial communication infrastructures,making the rapid deployment of emergency communication networks in affected areas critical in increasing rescue efficiency[2].
基金supported in part by the National Natural Science Foundation of China(No.61906156).
摘要This paper studies the problem of jamming decision-making for dynamic multiple communication links in wireless communication networks(WCNs).We propose a novel jamming channel allocation and power decision-making(JCAPD)approach based on multi-agent deep reinforcement learning(MADRL).In high-dynamic and multi-target aviation communication environments,the rapid changes in channels make it difficult for sensors to accurately capture instantaneous channel state information.This poses a challenge to make centralized jamming decisions with single-agent deep reinforcement learning(DRL)approaches.In response,we design a distributed multi-agent decision architecture(DMADA).We formulate multi-jammer resource allocation as a multiagent Markov decision process(MDP)and propose a fingerprint-based double deep Q-Network(FBDDQN)algorithm for solving it.Each jammer functions as an agent that interacts with the environment in this framework.Through the design of a reasonable reward and training mechanism,our approach enables jammers to achieve distributed cooperation,significantly improving the jamming success rate while considering jamming power cost,and reducing the transmission rate of links.Our experimental results show the FBDDQN algorithm is superior to the baseline methods.
基金supported by National Key Research and Development Program of China(No.2023YFB2704200)Beijing Natural Science Foundation(No.4254064).
摘要With the rapid development of network technologies,a large number of deployed edge devices and information systems generate massive amounts of data which provide good support for the advancement of data-driven intelligent models.However,these data often contain sensitive information of users.Federated learning(FL),as a privacy preservation machine learning setting,allows users to obtain a well-trained model without sending the privacy-sensitive local data to the central server.Despite the promising prospect of FL,several significant research challenges need to be addressed before widespread deployment,including network resource allocation,model security,model convergence,etc.In this paper,we first provide a brief survey on some of these works that have been done on FL and discuss the motivations of the Communication Networks(CNs)and FL to mutually enable each other.We analyze the support of network technologies for FL,which requires frequent communication and emphasizes security,as well as the studies on the intelligence of many network scenarios and the improvement of network performance and security by the methods based on FL.At last,some challenges and broader perspectives are explored.
基金supported by the National Natural Science Foundation of China(Grant No.62001440).
摘要Quantum communication networks,such as quantum key distribution(QKD)networks,typically employ the measurement-resend mechanism between two users using quantum communication devices based on different quantum encoding types.To achieve direct communication between the devices with different quantum encoding types,in this paper,we propose encoding conversion schemes between the polarization bases(rectilinear,diagonal and circular bases)and the time-bin phase bases(two phase bases and time-bin basis)and design the quantum encoding converters.The theoretical analysis of the encoding conversion schemes is given in detail,and the basis correspondence of encoding conversion and the property of bit flip are revealed.The conversion relationship between polarization bases and time-bin phase bases can be easily selected by controlling a phase shifter.Since no optical switches are used in our scheme,the converter can be operated with high speed.The converters can also be modularized,which may be utilized to realize miniaturization in the future.
基金supported in part by National Natural Science Founda-tion of China(No.62372284)in part by Shanghai Nat-ural Science Foundation(No.24ZR1421800).
摘要When tracking a unmanned aerial vehicle(UAV)in complex backgrounds,environmen-tal noise and clutter often obscure it.Traditional radar target tracking algorithms face multiple lim-itations when tracking a UAV,including high vulnerability to target occlusion and shape variations,as well as pronounced false alarms and missed detections in low signal-to-noise ratio(SNR)envi-ronments.To address these issues,this paper proposes a UAV detection and tracking algorithm based on a low-frequency communication network.The accuracy and effectiveness of the algorithm are validated through simulation experiments using field-measured point cloud data.Additionally,the key parameters of the algorithm are optimized through a process of selection and comparison,thereby improving the algorithm's precision.The experimental results show that the improved algo-rithm can significantly enhance the detection and tracking performance of the UAV under high clutter density conditions,effectively reduce the false alarm rate and markedly improve overall tracking performance metrics.
基金supported by the National Science and Technology Major Project of China on Mobile Information Networks under Grant No.2025ZD1304700the National Natural Science Foundation of China(NSFC)under Grant Nos.62301070,62225105 and 62394323+1 种基金funded by the Beijing University of Posts and Telecommunications-China Mobile Communications Group Co.,Ltd.Joint Institute,the Research Initiation Project for Introduced Talents of BUPT under Grant No.2025KYQD12the Foundation of the State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunica-tions,under Grant No.NST20250303.
摘要As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network architectures,designed for content-agnostic data transmission,struggle to accommodate the bursty,reasoning-driven traffic patterns and rigorous multimodal synchronization requirements of autonomous agents.This paper surveys the AI-agent communication network(ACN),aiming to bridge the gap between static network resources and dynamic agent tasks.We analyze the evolution from bit-oriented transmission to agentic syntax protocols,which enable intentbased signaling and semantic compression.Furthermore,we explore mechanisms for multi-agent collaborative consensus and distributed decision-making under the constraints of unstable wireless environments.We critically focus on task-driven dynamic networking,examining how integrated sensing,communication,and computing(ISCC)and network-embedded agents(NEA)facilitate the real-time generation of task graphs and intent-aware traffic scheduling.To synthesize these technologies,we propose a reference framework,the Deep-Agentic Network Architecture(DAN-Arch),which vertically integrates physical-layer sensing with application-layer reasoning flows.Finally,open challenges regarding energy efficiency,cross-domain governance,and 3GPP standardization pathways are discussed to guide future research towards a fully agent-native 6G ecosystem.
摘要Meteor Burst Communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.
摘要This paper focuses on the research of MPLS VPN technology in the ocean information communication network.Through the analysis of the current situation of the ocean information communication network,the architecture design of MPLS VPN technology in the ocean information communication network and the important role of RD value and RT value in the VPN instances,the matching strategies of import RT and export RT of different VPN instances are verified through experiments.
基金This work was supported by the National Natural Science Foundation of China(Grants 61971054 and 61601045)Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Foundation(HHX21641X002 and HHX20641X003).
摘要Benefit from the enhanced onboard processing capacities and high-speed satellite-terrestrial links,satellite edge computing has been regarded as a promising technique to facilitate the execution of the computation-intensive applications for satellite communication networks(SCNs).By deploying edge computing servers in satellite and gateway stations,SCNs can achieve significant performance gains of the computing capacities at the expense of extending the dimensions and complexity of resource management.Therefore,in this paper,we investigate the joint computing and communication resource management problem for SCNs to minimize the execution latency of the computation-intensive applications,while two different satellite edge computing scenarios and local execution are considered.Furthermore,the joint computing and communication resource allocation problem for the computation-intensive services is formulated as a mixed-integer programming problem.A game-theoretic and many-to-one matching theorybased scheme(JCCRA-GM)is proposed to achieve an approximate optimal solution.Numerical results show that the proposed method with low complexity can achieve almost the same weight-sum latency as the Brute-force method.
基金This work was supported by National Key R&D Program of China under Grant 2018YFB1800802in part by the National Natural Science Foundation of China under Grant No.61771488,No.61631020 and No.61827801+1 种基金in part by State Key Laboratory of Air Traffic Management System and Technology under Grant No.SKLATM201808in part by Postgraduate Research and Practice Innovation Program of Jiangsu Province under No.KYCX190188.
摘要As a result of rapid development in electronics and communication technology,large-scale unmanned aerial vehicles(UAVs)are harnessed for various promising applications in a coordinated manner.Although it poses numerous advantages,resource management among various domains in large-scale UAV communication networks is the key challenge to be solved urgently.Specifically,due to the inherent requirements and future development trend,distributed resource management is suitable.In this article,we investigate the resource management problem for large-scale UAV communication networks from game-theoretic perspective which are exactly coincident with the distributed and autonomous manner.By exploring the inherent features,the distinctive challenges are discussed.Then,we explore several gametheoretic models that not only combat the challenges but also have broad application prospects.We provide the basics of each game-theoretic model and discuss the potential applications for resource management in large-scale UAV communication networks.Specifically,mean-field game,graphical game,Stackelberg game,coalition game and potential game are included.After that,we propose two innovative case studies to highlight the feasibility of such novel game-theoretic models.Finally,we give some future research directions to shed light on future opportunities and applications.
基金supported by the State Grid project which names the simulation and service quality evaluation technology research of power communication network(No.XX71-14-046)
摘要In power communication networks,it is a challenge to decrease the risk of different services efficiently to improve operation reliability.One of the important factor in reflecting communication risk is service route distribution.However,existing routing algorithms do not take into account the degree of importance of services,thereby leading to load unbalancing and increasing the risks of services and networks.A routing optimization mechanism based on load balancing for power communication networks is proposed to address the abovementioned problems.First,the mechanism constructs an evaluation model to evaluate the service and network risk degree using combination of devices,service load,and service characteristics.Second,service weights are determined with modified relative entropy TOPSIS method,and a balanced service routing determination algorithm is proposed.Results of simulations on practical network topology show that the mechanism can optimize the network risk degree and load balancing degree efficiently.
基金supported by National Science Foundation Project of P. R. China (No. 61501026, U1603116)
摘要In this paper, a Stackelberg differential game based approach is proposed to solve the bandwidth allocation problems in satellite communication network. All the satellites are divided into two groups, one has high download requirements, and the other one has low download requirements. Each satellites group has its own controller for bandwidth allocation, and can get payments from the satellites for the allocated resources. The relationships between the controllers and satellites are formed as a Stackelberg game. In our model, differential equation is introduced to describe the bandwidth dynamics for the whole satellite communication network. Combine the differential equation and Stackelberg game together, we can formulate the bandwidth allocation problems in satellite communication network as a Stackelber differential game. The solutions to the proposed game is solved based the Bellman dynamic equations. Numerical simulations are given to prove the effeteness and correctness of the proposed approach.