The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in...The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in heterogeneous deployments.When multiple TSN networks interconnect over non-TSN networks,all devices in the network need to be syn-chronized by sharing a uniform time reference.How-ever,most non-TSN networks are best-effort.Path delay asymmetry and random noise accumulation can introduce unpredictable time errors during end-to-end time synchronization.These factors can degrade syn-chronization performance.Therefore,cross-domain time synchronization becomes a challenging issue for multiple TSN networks interconnected by non-TSN networks.This paper presents a cross-domain time synchronization scheme that follows the software-defined TSN(SD-TSN)paradigm.It utilizes a com-bined control plane constructed by a coordinate con-troller and a domain controller for centralized control and management of cross-domain time synchroniza-tion.The general operation flow of the cross-domain time synchronization process is designed.The mecha-nism of cross-domain time synchronization is revealed by introducing a synchronization model and an error compensation method.A TSN cross-domain proto-type testbed is constructed for verification.Results show that the scheme can achieve end-to-end high-precision time synchronization with accuracy and sta-bility.展开更多
Time synchronization is a prerequisite for ensuring determinism in time-sensitive networking(TSN).While time synchronization errors cannot be overlooked,pursuing minimal time errors may incur unnecessary costs.Using c...Time synchronization is a prerequisite for ensuring determinism in time-sensitive networking(TSN).While time synchronization errors cannot be overlooked,pursuing minimal time errors may incur unnecessary costs.Using complex network theory,this study proposes a hierarchy for TSN and introduces the concept of bounded time error.A coupling model between traffic scheduling and time synchronization is established,deriving functional relationships among end-to-end delay,delay jitter,gate window,and time error.These relationships illustrate that time errors can trigger jumps in delay and delay jitter.To evaluate different time errors impact on traffic scheduling performance,an end-to-end transmission experiment scheme is designed,along with the construction of a TSN test platform implementing two representative cases.Case A is a closed TSN domain scenario with pure TSN switches emulating closed factory floor network.Case B depicts remote factory interconnection where TSN domains link via non-TSN domains composed of OpenFlow switches.Results from Case A show that delay and delay jitter on a single node are most significantly affected by time errors,up to one gating cycle.End-to-end delay jitter tends to increase with the number of hops.When the ratio of time error bound to window exceeds 10%,the number of schedulable traffic flows decreases rapidly.Case B reveals that when time error is below 1μs,the number of schedulable traffic flows begins to increase significantly,approaching full schedulability at errors below 0.6μs.展开更多
Time-sensitive networking(TSN)is an important research area for updating the infrastructure of industrial Internet of Things.As a product of the integration of the operation technology(OT)and the information technolog...Time-sensitive networking(TSN)is an important research area for updating the infrastructure of industrial Internet of Things.As a product of the integration of the operation technology(OT)and the information technology(IT),it meets the real-time and deterministic nature of industrial control and is compatible with Ethernet to support the mixed transmission of industrial control data and Ethernet data.This paper systematically summarizes and analyzes the shortcomings of the current mixed transmission technologies of the bursty flows and the periodic flows.To conquer these shortages,we propose a predictive mixed-transmission scheme of the bursty flows and the periodic flows.The core idea is to use the predictability of timetriggered transmission of TSN to further reduce bandwidth loss of the previous mixed-transmission methods.This paper formalizes the probabilistic model of the predictive mixed transmission mechanism and proves that the proposed mecha⁃nism can effectively reduce the loss of bandwidth.Finally,based on the formalized probabilistic model,we simulate the bandwidth loss of the proposed mechanism.The results demonstrate that compared with the previous mixed-transmission method,the bandwidth loss of the pro⁃posed mechanism achieves a 79.48%reduction on average.展开更多
With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Eart...With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Earth orbit satellite networks with terrestrial networks has become a critical direction for future communication technologies.The objective is to develop a space-terrestrial integrated 6G network that ensures ubiquitous connectivity and seamless services,facilitating intelligent interconnection and collaborative symbiosis among humans,machines,and objects.This integration has become a central focus of global technological innovation.展开更多
As important sources of new drugs,natural products(NPs)are conceptually biosynthesized from simple structural pioneers(i.e.building blocks).The traditional non-targeted purification strategy extensively suffers from t...As important sources of new drugs,natural products(NPs)are conceptually biosynthesized from simple structural pioneers(i.e.building blocks).The traditional non-targeted purification strategy extensively suffers from the time-consuming and laborious bottlenecks.Fortunately,liquid chromatography–mass spectrometry/mass spectrometry(LC–MS/MS)-guided separations widely succeed in recent decades.However,it is still challenging for LC–MS/MS to precisely capture new NPs.Efficiently extracting information from the chaotic chemical composition and confident structural annotation are two primary technical barriers for pursuing the interesting structures,particularly those exhibiting trace distributions and high-level structural complexity.Here,to provide accurate guidance for the follow-up phytochemical purification,molecular defect filtering(MDF)and feature-based molecular networking(FBMN)[1]were incorporated to explore NPs and thereafter,bottom-up structural analysis was undertaken through identifying building blocks with full exciting energy ramp(FEER)-MS 3 matching.Sesquiterpene-chromone hybrids(SCHs)structurally configured by two building blocks such as units A(chromone)and B(sesquiterpene)[2]in agarwood were characterized as a proof-of-concept.Twenty-five SCHs were captured and identified.Thereof,seven new SCHs were purified with a LC–MS/MS-guided manner and annotated using nuclear magnetic resonance(NMR)spectroscopy to justify the proposed structures.Moreover,their cell-protective and anti-inflammatory activities were evaluated.Together,the incorporation of post-acquisition data processing strategies and FEER-MS 3 spectrum matchingassisted building blocks identification facilitated novel NPs exploration and purification.展开更多
Empowered by advances in large language models,the growing integration of autonomous agents into industrial and daily-life sectors is turning them into new networking entities.Such agent-oriented networking features h...Empowered by advances in large language models,the growing integration of autonomous agents into industrial and daily-life sectors is turning them into new networking entities.Such agent-oriented networking features high interaction frequencies and emergent task-driven structures,necessitating strong network policy consistency and reliability within dynamic environments.To address these challenges,we propose a network control system that integrates Intent-Driven Network(IDN)into Heterogeneous Agent-Oriented Networking(HaoNet).IDN focuses on highlevel task intents and provides flexible reconfiguration and adaptive optimization,thereby enhancing the effectiveness of agent-oriented networking.In this paper,we first summarize three key features of HaoNet:task-driven operation,distributed collaboration,and closed-loop intelligence.Furthermore,we propose a comprehensive system architecture,which includes the application layer,the intent layer,and the infrastructure layer,and investigate the associated key technologies.Finally,typical application scenarios are presented to demonstrate the practical value of the proposed system in enabling robust agent-oriented networking control.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
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
The 2026 Tan Kah Kee Young Scientist Award in Information Technical Sciences recognizes the breakthrough work on integrated optical quantum chips led by Professor WANG Jianwei and Professor GONG Qihuang at Peking Univ...The 2026 Tan Kah Kee Young Scientist Award in Information Technical Sciences recognizes the breakthrough work on integrated optical quantum chips led by Professor WANG Jianwei and Professor GONG Qihuang at Peking University.Their team has built chips that combine quantum light sources,optical circuits,and light detectors all on a millimeter-scale chip.This makes it possible to generate,control,and measure quantum states entirely on a single chip,providing a hardware platform that can be scaled up for quantum computing and networking.展开更多
From fifth-generation(5G)communication technology onward,non-terrestrial networks(NTNs)have emerged as a key component of future network architectures.Especially through the rise of low-Earth-orbit satellite constella...From fifth-generation(5G)communication technology onward,non-terrestrial networks(NTNs)have emerged as a key component of future network architectures.Especially through the rise of low-Earth-orbit satellite constellations,NTNs enable a space Internet and present a paradigm shift in delivering reliable services to even the most remote regions on Earth.However,the extensive coverage and rapid movement of satellites pose unique challenges in user equipment access and inter-satellite transmission,impacting the quality of service and service continuity.This paper offers an in-depth review of NTN networking technologies in the context of six-generation(6G)mobile networks evolution,focusing on access management,satellite mobility,and hetero-network slicing.Building on this foundation and considering the latest trends in NTN development,we then present innovative perspectives on emerging challenges,including satellite beamforming,handover mechanisms,and service delivery.Lastly,we identify key open research areas and propose future directions to improve NTN performance and accelerate satellite Internet deployment.展开更多
The rapid evolution of satellite constellation projects(e.g.,SpaceX)and the standardization of 3rd Generation Partnership Project(3GPP)non-terrestrial networks(NTNs)have positioned satellite Internet networking(SIN)as...The rapid evolution of satellite constellation projects(e.g.,SpaceX)and the standardization of 3rd Generation Partnership Project(3GPP)non-terrestrial networks(NTNs)have positioned satellite Internet networking(SIN)as a cornerstone of future communication systems.The demand for ubiquitous connectivity,resilient infrastructures,and intelligent network services has never been greater,driven by applications ranging from global broadband access to emergency response and space-air-ground integration.展开更多
The sixth-generation(6G)networks will consist of multiple bands such as low-frequency,midfrequency,millimeter wave,terahertz and other bands to meet various business requirements and networking scenarios.The dynamic c...The sixth-generation(6G)networks will consist of multiple bands such as low-frequency,midfrequency,millimeter wave,terahertz and other bands to meet various business requirements and networking scenarios.The dynamic complementarity of multiple bands are crucial for enhancing the spectrum efficiency,reducing network energy consumption,and ensuring a consistent user experience.This paper investigates the present researches and challenges associated with deployment of multi-band integrated networks in existing infrastructures.Then,an evolutionary path for integrated networking is proposed with the consideration of maturity of emerging technologies and practical network deployment.The proposed design principles for 6G multi-band integrated networking aim to achieve on-demand networking objectives,while the architecture supports full spectrum access and collaboration between high and low frequencies.In addition,the potential key air interface technologies and intelligent technologies for integrated networking are comprehensively discussed.It will be a crucial basis for the subsequent standards promotion of 6G multi-band integrated networking technology.展开更多
In the upcoming sixth-generation(6G)era,the demand for constructing a wide-area time-sensitive Internet of Things(IoT)continues to increase.As conventional cellular technologies are difficult to directly use for wide-...In the upcoming sixth-generation(6G)era,the demand for constructing a wide-area time-sensitive Internet of Things(IoT)continues to increase.As conventional cellular technologies are difficult to directly use for wide-area time-sensitive IoT,it is beneficial to use non-terrestrial infrastructures,including satellites and unmanned aerial vehicles(UAVs).Thus,we can build a non-terrestrial network(NTN)using a cell-free architecture.Driven by the time-sensitive requirements and uneven distribution of IoT devices,the NTN must be empowered using mobile edge computing(MEC)while providing oasisoriented on-demand coverage for devices.Nevertheless,communication and MEC systems are coupled with each other under the influence of a complex propagation environment in the MEC-empowered NTN,which makes it difficult to coordinate the resources.In this study,we propose a process-oriented framework to design communication and MEC systems in a time-division manner.In this framework,large-scale channel state information(CSI)is used to characterize the complex propagation environment at an affordable cost,where a nonconvex latency minimization problem is formulated.Subsequently,the approximated problem is provided,and it can be decomposed into sub-problems.These sub-problems are then solved iteratively.The simulation results demonstrated the superiority of the proposed process-oriented scheme over other algorithms,implied that the payload deployments of UAVs should be appropriately predesigned to improve the efficiency of using resources,and confirmed that it is advantageous to integrate NTN with MEC for wide-area time-sensitive IoT.展开更多
Time-sensitive networks(TSNs)support not only traditional best-effort communications but also deterministic communications,which send each packet at a deterministic time so that the data transmissions of networked con...Time-sensitive networks(TSNs)support not only traditional best-effort communications but also deterministic communications,which send each packet at a deterministic time so that the data transmissions of networked control systems can be precisely scheduled to guarantee hard real-time constraints.No-wait scheduling is suitable for such TSNs and generates the schedules of deterministic communications with the minimal network resources so that all of the remaining resources can be used to improve the throughput of best-effort communications.However,due to inappropriate message fragmentation,the realtime performance of no-wait scheduling algorithms is reduced.Therefore,in this paper,joint algorithms of message fragmentation and no-wait scheduling are proposed.First,a specification for the joint problem based on optimization modulo theories is proposed so that off-the-shelf solvers can be used to find optimal solutions.Second,to improve the scalability of our algorithm,the worst-case delay of messages is analyzed,and then,based on the analysis,a heuristic algorithm is proposed to construct low-delay schedules.Finally,we conduct extensive test cases to evaluate our proposed algorithms.The evaluation results indicate that,compared to existing algorithms,the proposed joint algorithm improves schedulability by up to 50%.展开更多
Paints with passive daytime radiative cooling capability hold significant promise for energy-efficient buildings owing to their ease of processing.However,conventional radiative cooling paints require substantial thic...Paints with passive daytime radiative cooling capability hold significant promise for energy-efficient buildings owing to their ease of processing.However,conventional radiative cooling paints require substantial thickness to achieve effective outdoor cooling and must be combined with binders to enhance adhesion to the substrate.Meanwhile,their long-term outdoor durability remains poor.In this work,we proposed a scattering network-enhanced ultrathin photonic cooling paint(thickness of 78μm)fabricated without traditional binders through a universal,scalable solution-assembly strategy under a low-carbon production process.Cellulose nanofiber and cellulose nanocrystal were employed to wrap and entangle TiO2,forming a topological scattering network that prevents near-field coupling.Together with hierarchical pores,this structure enables high solar reflectance(96.4%)and an infrared emissivity of 0.94.This novel paint achieves temperature reduction of~5.6 and 3.8℃ under low and high-humidity conditions of midday,respectively,while maintaining long-term outdoor stability.Importantly,the cellulose-weaved topological scattering network can also be engineered with alternative photonic cooling pigments(Al2O3,SiO2,BaSO4,and mica),demonstrating its universality.In addition,life cycle assessment reveals that the obtained cooling paint offers very low carbon emissions and minimal environmental impacts.This work provides an economically viable and environmentally sustainable alternative to existing passive cooling materials.展开更多
Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we...Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects.展开更多
Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently r...Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently realize load balancing.However,such a ubiquitous caching approach may cause problems including duplicate caching and low data diversity,thus reducing the caching efficiency of NDN routers.To mitigate these caching problems and improve the NDN caching efficiency,in this paper,a hierarchical-based sequential caching(HSC)scheme is proposed.In this scheme,the NDN routers in the data transmission path are divided into various levels and data with different request frequencies are cached in distinct router levels.The aim is to cache data with high request frequencies in the router that is closest to the content requester to increase the response probability of the nearby data,improve the data caching efficiency of named data networks,shorten the response time,and reduce cache redundancy.Simulation results show that this scheme can effectively improve the cache hit rate(CHR)and reduce the average request delay(ARD)and average route hop(ARH).展开更多
Increased crop diversity can alter soil nitrogen(N)levels,soil properties,and functional microbial communities,leading to changes in potential nitrous oxide(N2O)emissions.However,our understanding on relationships ...Increased crop diversity can alter soil nitrogen(N)levels,soil properties,and functional microbial communities,leading to changes in potential nitrous oxide(N2O)emissions.However,our understanding on relationships between N2O emissions and related microbes in diversified rotation systems is still limited.Here,we established a long-term field experiment to investigate the response of N2O emissions regulated by five N-cycling genes in three rotation systems.Our results showed that N2O emissions in wheat and maize seasons in diversified rotations(spring maize→winter wheat–summer maize and spring peanut→winter wheat–summer maize)were 15.5%-51.1%and 15.9%-53.3%lower than that in winter wheat–summer maize rotation(P<0.05),respectively.Diversified rotations decreased abundance of ammonia-oxidizing archaea(AOA)amoA,AOB amoA,nirK and nirS genes in both wheat and maize seasons,while increased abundance of nosZ gene in maize season,leading to lower soil N2O emissions.Changes in these functional genes correlated significantly with soil moisture,nitrogen availability,and enzyme activity(L-leucine aminopeptidase and Urease).Besides,diversified rotations increased number of nodes,edges and degree of the co-occurring network and sub-network,while reduced average path length and betweeness.These microbial co-occurrence network complexity indicators were significantly correlated with N2O emissions.This indicates that increase in aboveground crop diversity drives the increase in complexity of belowground N-cycling related microbial interaction networks,which leads to lower N2O emissions.In summary,diversified rotations show promising potentials to lower N2O emissions in agricultural soils.展开更多
While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easi...While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easily be imagined that,without proper design,the enrichment of 6G will further increase system complexity.To address this issue,we propose the Agentic-AI Core(A-Core),an artificial intelligence(AI)-empowered,mission-oriented core network architecture for next-generation mobile telecommunications.In A-Core,network capabilities can be added and updated on the fly and further programmed into missions for enabling and offering diverse services to customers.These missions are created and executed by autonomous network agents according to the customer's intent,which may be expressed in natural language.The agents resolve intents from customers into workflows of network capabilities by leveraging a large-scale network AI model and follow the workflows to execute the mission.As an open,agile system architecture,A-Core holds promise for accelerating innovation and greatly reducing standard release times.The advantages of A-Core are demonstrated through two use cases.展开更多
Urban spatial morphology(USM)optimization is critical to balancing biodiversity conservation and sustainable urbanization.However,previous studies predominantly focused on the socio-economic efficiency and static ecol...Urban spatial morphology(USM)optimization is critical to balancing biodiversity conservation and sustainable urbanization.However,previous studies predominantly focused on the socio-economic efficiency and static ecological metrics and rarely addressed the dynamic USM optimization across spatial scales.Here,we developed a multi-level ecological network(MEN)framework to resolve the tension between urban expansion and ecological integrity.By integrating the cost-weighted distance analysis with a hierarchical network transmission mechanism,we established a cross-scale spatial optimization system,which coordinated the regional ecological corridors and local habitat patches.Comparative experiments with conventional single-scale approaches and scenario simulations using the PLUS model show that the MEN framework had superior performance in three dimensions:(1)spatial governance:the primary-level network(peri-urban natural reserves)effectively contained urban sprawl,and the secondary-level network(intra-urban green corridors)mitigated habitat fragmentation and improved the built-environment;(2)scenario robustness:the model maintained an optimal compactness-loose balance in multiple development pathways;(3)landscape metrics:patch fragmentation decreased by 18.25%,and the internal landscape richness improved by 10.66%compared to the scenario without USM optimization.The findings provide new insight to establish a hierarchical ecological optimization framework as a nature-based spatial protocol to reconcile metropolitan growth with landscape sustainability.展开更多
基金supported in part by National Key R&D Program of China(Grant No.2022YFC3803700)in part by the National Natural Science Foundation of China(Grant No.92067102)in part by the project of Beijing Laboratory of Advanced Information Networks.
摘要The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in heterogeneous deployments.When multiple TSN networks interconnect over non-TSN networks,all devices in the network need to be syn-chronized by sharing a uniform time reference.How-ever,most non-TSN networks are best-effort.Path delay asymmetry and random noise accumulation can introduce unpredictable time errors during end-to-end time synchronization.These factors can degrade syn-chronization performance.Therefore,cross-domain time synchronization becomes a challenging issue for multiple TSN networks interconnected by non-TSN networks.This paper presents a cross-domain time synchronization scheme that follows the software-defined TSN(SD-TSN)paradigm.It utilizes a com-bined control plane constructed by a coordinate con-troller and a domain controller for centralized control and management of cross-domain time synchroniza-tion.The general operation flow of the cross-domain time synchronization process is designed.The mecha-nism of cross-domain time synchronization is revealed by introducing a synchronization model and an error compensation method.A TSN cross-domain proto-type testbed is constructed for verification.Results show that the scheme can achieve end-to-end high-precision time synchronization with accuracy and sta-bility.
基金supported in part by the Science and Technology Research and Development Foundation of China Academy of Railway Sciences Corporation Limited(Grant No.2023YJ364)in part by National Key R&D Program of China(Grant No.2022YFC3803700)in part by the project of Beijing Laboratory of Advanced Information Networks.
摘要Time synchronization is a prerequisite for ensuring determinism in time-sensitive networking(TSN).While time synchronization errors cannot be overlooked,pursuing minimal time errors may incur unnecessary costs.Using complex network theory,this study proposes a hierarchy for TSN and introduces the concept of bounded time error.A coupling model between traffic scheduling and time synchronization is established,deriving functional relationships among end-to-end delay,delay jitter,gate window,and time error.These relationships illustrate that time errors can trigger jumps in delay and delay jitter.To evaluate different time errors impact on traffic scheduling performance,an end-to-end transmission experiment scheme is designed,along with the construction of a TSN test platform implementing two representative cases.Case A is a closed TSN domain scenario with pure TSN switches emulating closed factory floor network.Case B depicts remote factory interconnection where TSN domains link via non-TSN domains composed of OpenFlow switches.Results from Case A show that delay and delay jitter on a single node are most significantly affected by time errors,up to one gating cycle.End-to-end delay jitter tends to increase with the number of hops.When the ratio of time error bound to window exceeds 10%,the number of schedulable traffic flows decreases rapidly.Case B reveals that when time error is below 1μs,the number of schedulable traffic flows begins to increase significantly,approaching full schedulability at errors below 0.6μs.
基金sponsored in part by the National Key Research and Development Project under Grants Nos. 2018YFB1308601 and 2017YFE0119300the National Natural Science Foundation of China under Grant No. 62002013+1 种基金the Project funded by China Postdoctoral Science Foundation Grants Nos. 2019M660439 and 2020T130049the Industry-University-Research Cooperation Fund of ZTE Corporation.
摘要Time-sensitive networking(TSN)is an important research area for updating the infrastructure of industrial Internet of Things.As a product of the integration of the operation technology(OT)and the information technology(IT),it meets the real-time and deterministic nature of industrial control and is compatible with Ethernet to support the mixed transmission of industrial control data and Ethernet data.This paper systematically summarizes and analyzes the shortcomings of the current mixed transmission technologies of the bursty flows and the periodic flows.To conquer these shortages,we propose a predictive mixed-transmission scheme of the bursty flows and the periodic flows.The core idea is to use the predictability of timetriggered transmission of TSN to further reduce bandwidth loss of the previous mixed-transmission methods.This paper formalizes the probabilistic model of the predictive mixed transmission mechanism and proves that the proposed mecha⁃nism can effectively reduce the loss of bandwidth.Finally,based on the formalized probabilistic model,we simulate the bandwidth loss of the proposed mechanism.The results demonstrate that compared with the previous mixed-transmission method,the bandwidth loss of the pro⁃posed mechanism achieves a 79.48%reduction on average.
摘要With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Earth orbit satellite networks with terrestrial networks has become a critical direction for future communication technologies.The objective is to develop a space-terrestrial integrated 6G network that ensures ubiquitous connectivity and seamless services,facilitating intelligent interconnection and collaborative symbiosis among humans,machines,and objects.This integration has become a central focus of global technological innovation.
基金financially supported by the National Key Research and Development Program of China(Program No.:2018YFC1706402)the National Natural Science Foundation of China(Grant No.:82003912)the 2022 Young Qihuang Scholars Cultivation Program(Program No.:256[2022])from the Human Resources and Education Department of the National Administration of Traditional Chinese Medicine.
摘要As important sources of new drugs,natural products(NPs)are conceptually biosynthesized from simple structural pioneers(i.e.building blocks).The traditional non-targeted purification strategy extensively suffers from the time-consuming and laborious bottlenecks.Fortunately,liquid chromatography–mass spectrometry/mass spectrometry(LC–MS/MS)-guided separations widely succeed in recent decades.However,it is still challenging for LC–MS/MS to precisely capture new NPs.Efficiently extracting information from the chaotic chemical composition and confident structural annotation are two primary technical barriers for pursuing the interesting structures,particularly those exhibiting trace distributions and high-level structural complexity.Here,to provide accurate guidance for the follow-up phytochemical purification,molecular defect filtering(MDF)and feature-based molecular networking(FBMN)[1]were incorporated to explore NPs and thereafter,bottom-up structural analysis was undertaken through identifying building blocks with full exciting energy ramp(FEER)-MS 3 matching.Sesquiterpene-chromone hybrids(SCHs)structurally configured by two building blocks such as units A(chromone)and B(sesquiterpene)[2]in agarwood were characterized as a proof-of-concept.Twenty-five SCHs were captured and identified.Thereof,seven new SCHs were purified with a LC–MS/MS-guided manner and annotated using nuclear magnetic resonance(NMR)spectroscopy to justify the proposed structures.Moreover,their cell-protective and anti-inflammatory activities were evaluated.Together,the incorporation of post-acquisition data processing strategies and FEER-MS 3 spectrum matchingassisted building blocks identification facilitated novel NPs exploration and purification.
摘要Empowered by advances in large language models,the growing integration of autonomous agents into industrial and daily-life sectors is turning them into new networking entities.Such agent-oriented networking features high interaction frequencies and emergent task-driven structures,necessitating strong network policy consistency and reliability within dynamic environments.To address these challenges,we propose a network control system that integrates Intent-Driven Network(IDN)into Heterogeneous Agent-Oriented Networking(HaoNet).IDN focuses on highlevel task intents and provides flexible reconfiguration and adaptive optimization,thereby enhancing the effectiveness of agent-oriented networking.In this paper,we first summarize three key features of HaoNet:task-driven operation,distributed collaboration,and closed-loop intelligence.Furthermore,we propose a comprehensive system architecture,which includes the application layer,the intent layer,and the infrastructure layer,and investigate the associated key technologies.Finally,typical application scenarios are presented to demonstrate the practical value of the proposed system in enabling robust agent-oriented networking control.
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The 2026 Tan Kah Kee Young Scientist Award in Information Technical Sciences recognizes the breakthrough work on integrated optical quantum chips led by Professor WANG Jianwei and Professor GONG Qihuang at Peking University.Their team has built chips that combine quantum light sources,optical circuits,and light detectors all on a millimeter-scale chip.This makes it possible to generate,control,and measure quantum states entirely on a single chip,providing a hardware platform that can be scaled up for quantum computing and networking.
基金supported by the National Research Foundation,Singapore and Infocomm Media Development Authority under its Future Communications Research&Development Programme.
摘要From fifth-generation(5G)communication technology onward,non-terrestrial networks(NTNs)have emerged as a key component of future network architectures.Especially through the rise of low-Earth-orbit satellite constellations,NTNs enable a space Internet and present a paradigm shift in delivering reliable services to even the most remote regions on Earth.However,the extensive coverage and rapid movement of satellites pose unique challenges in user equipment access and inter-satellite transmission,impacting the quality of service and service continuity.This paper offers an in-depth review of NTN networking technologies in the context of six-generation(6G)mobile networks evolution,focusing on access management,satellite mobility,and hetero-network slicing.Building on this foundation and considering the latest trends in NTN development,we then present innovative perspectives on emerging challenges,including satellite beamforming,handover mechanisms,and service delivery.Lastly,we identify key open research areas and propose future directions to improve NTN performance and accelerate satellite Internet deployment.
摘要The rapid evolution of satellite constellation projects(e.g.,SpaceX)and the standardization of 3rd Generation Partnership Project(3GPP)non-terrestrial networks(NTNs)have positioned satellite Internet networking(SIN)as a cornerstone of future communication systems.The demand for ubiquitous connectivity,resilient infrastructures,and intelligent network services has never been greater,driven by applications ranging from global broadband access to emergency response and space-air-ground integration.
基金supported by China’s National Key R&D Program(Project Number:2022YFB2902100)。
摘要The sixth-generation(6G)networks will consist of multiple bands such as low-frequency,midfrequency,millimeter wave,terahertz and other bands to meet various business requirements and networking scenarios.The dynamic complementarity of multiple bands are crucial for enhancing the spectrum efficiency,reducing network energy consumption,and ensuring a consistent user experience.This paper investigates the present researches and challenges associated with deployment of multi-band integrated networks in existing infrastructures.Then,an evolutionary path for integrated networking is proposed with the consideration of maturity of emerging technologies and practical network deployment.The proposed design principles for 6G multi-band integrated networking aim to achieve on-demand networking objectives,while the architecture supports full spectrum access and collaboration between high and low frequencies.In addition,the potential key air interface technologies and intelligent technologies for integrated networking are comprehensively discussed.It will be a crucial basis for the subsequent standards promotion of 6G multi-band integrated networking technology.
基金the National Key R&D Program of China(2018YFA0701601 and 2020YFA0711301)the National Natural Science Foundation of China(61771286,61941104,and 61922049)the Tsinghua University-China Mobile Communications Group Co.,Ltd.Joint Institute.
摘要In the upcoming sixth-generation(6G)era,the demand for constructing a wide-area time-sensitive Internet of Things(IoT)continues to increase.As conventional cellular technologies are difficult to directly use for wide-area time-sensitive IoT,it is beneficial to use non-terrestrial infrastructures,including satellites and unmanned aerial vehicles(UAVs).Thus,we can build a non-terrestrial network(NTN)using a cell-free architecture.Driven by the time-sensitive requirements and uneven distribution of IoT devices,the NTN must be empowered using mobile edge computing(MEC)while providing oasisoriented on-demand coverage for devices.Nevertheless,communication and MEC systems are coupled with each other under the influence of a complex propagation environment in the MEC-empowered NTN,which makes it difficult to coordinate the resources.In this study,we propose a process-oriented framework to design communication and MEC systems in a time-division manner.In this framework,large-scale channel state information(CSI)is used to characterize the complex propagation environment at an affordable cost,where a nonconvex latency minimization problem is formulated.Subsequently,the approximated problem is provided,and it can be decomposed into sub-problems.These sub-problems are then solved iteratively.The simulation results demonstrated the superiority of the proposed process-oriented scheme over other algorithms,implied that the payload deployments of UAVs should be appropriately predesigned to improve the efficiency of using resources,and confirmed that it is advantageous to integrate NTN with MEC for wide-area time-sensitive IoT.
基金partially supported by National Key Research and Development Program of China(2018YFB1700200)National Natural Science Foundation of China(61972389,61903356,61803368,U1908212)+2 种基金Youth Innovation Promotion Association of the Chinese Academy of Sciences,National Science and Technology Major Project(2017ZX02101007-004)Liaoning Provincial Natural Science Foundation of China(2020-MS-034,2019-YQ-09)China Postdoctoral Science Foundation(2019M661156)。
摘要Time-sensitive networks(TSNs)support not only traditional best-effort communications but also deterministic communications,which send each packet at a deterministic time so that the data transmissions of networked control systems can be precisely scheduled to guarantee hard real-time constraints.No-wait scheduling is suitable for such TSNs and generates the schedules of deterministic communications with the minimal network resources so that all of the remaining resources can be used to improve the throughput of best-effort communications.However,due to inappropriate message fragmentation,the realtime performance of no-wait scheduling algorithms is reduced.Therefore,in this paper,joint algorithms of message fragmentation and no-wait scheduling are proposed.First,a specification for the joint problem based on optimization modulo theories is proposed so that off-the-shelf solvers can be used to find optimal solutions.Second,to improve the scalability of our algorithm,the worst-case delay of messages is analyzed,and then,based on the analysis,a heuristic algorithm is proposed to construct low-delay schedules.Finally,we conduct extensive test cases to evaluate our proposed algorithms.The evaluation results indicate that,compared to existing algorithms,the proposed joint algorithm improves schedulability by up to 50%.
基金Dongguan University of Technology Top Talent Professor Start-Up Fund(221110133)(Jonathan W.C.Wong)Start-Up Funds for Scientific Research at Nanjing Forestry University(C.C.)Natural Science Foundation of Jiangsu Province(BK20230404)(C.C.)。
摘要Paints with passive daytime radiative cooling capability hold significant promise for energy-efficient buildings owing to their ease of processing.However,conventional radiative cooling paints require substantial thickness to achieve effective outdoor cooling and must be combined with binders to enhance adhesion to the substrate.Meanwhile,their long-term outdoor durability remains poor.In this work,we proposed a scattering network-enhanced ultrathin photonic cooling paint(thickness of 78μm)fabricated without traditional binders through a universal,scalable solution-assembly strategy under a low-carbon production process.Cellulose nanofiber and cellulose nanocrystal were employed to wrap and entangle TiO2,forming a topological scattering network that prevents near-field coupling.Together with hierarchical pores,this structure enables high solar reflectance(96.4%)and an infrared emissivity of 0.94.This novel paint achieves temperature reduction of~5.6 and 3.8℃ under low and high-humidity conditions of midday,respectively,while maintaining long-term outdoor stability.Importantly,the cellulose-weaved topological scattering network can also be engineered with alternative photonic cooling pigments(Al2O3,SiO2,BaSO4,and mica),demonstrating its universality.In addition,life cycle assessment reveals that the obtained cooling paint offers very low carbon emissions and minimal environmental impacts.This work provides an economically viable and environmentally sustainable alternative to existing passive cooling materials.
基金supported by National Science and Technology Major Project"CO2 Flooding for Significantly Enhancing Recovery Rate and Long-Term Sequestration Technology"(No.2024ZD1406601)National Natural Science Foundation of China(Nos.42272186,42472179,42302128,42202109)+1 种基金Frontier Interdisciplinary Exploration Research Program of China University of Petroleum,Beijing(No.2462024XKQY003)Science Foundation of China University of Petroleum(Beijing)(Nos.2462023BJRC024,and 2462023YJRC039)。
摘要Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects.
基金supported in part by the National Natural Science Foundation of China under Grant 61972424 and 62372479in part by the High Value Intellectual Property Cultivation Project of Hubei Province,China,under grant D2021002094+1 种基金in part by JSPS KAKENHI under Grants JP16K00117 and JP19K20250in part by the Leading Initiative for Excellent Young Researchers(LEADER),MEXT,Japan,and KDDI Foundation.
摘要Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently realize load balancing.However,such a ubiquitous caching approach may cause problems including duplicate caching and low data diversity,thus reducing the caching efficiency of NDN routers.To mitigate these caching problems and improve the NDN caching efficiency,in this paper,a hierarchical-based sequential caching(HSC)scheme is proposed.In this scheme,the NDN routers in the data transmission path are divided into various levels and data with different request frequencies are cached in distinct router levels.The aim is to cache data with high request frequencies in the router that is closest to the content requester to increase the response probability of the nearby data,improve the data caching efficiency of named data networks,shorten the response time,and reduce cache redundancy.Simulation results show that this scheme can effectively improve the cache hit rate(CHR)and reduce the average request delay(ARD)and average route hop(ARH).
基金supported by the National Key Research and Development Program of China(No.2022YFD2300803)the National Natural Science Foundation of China(Nos.32172125 and 31901470).
摘要Increased crop diversity can alter soil nitrogen(N)levels,soil properties,and functional microbial communities,leading to changes in potential nitrous oxide(N2O)emissions.However,our understanding on relationships between N2O emissions and related microbes in diversified rotation systems is still limited.Here,we established a long-term field experiment to investigate the response of N2O emissions regulated by five N-cycling genes in three rotation systems.Our results showed that N2O emissions in wheat and maize seasons in diversified rotations(spring maize→winter wheat–summer maize and spring peanut→winter wheat–summer maize)were 15.5%-51.1%and 15.9%-53.3%lower than that in winter wheat–summer maize rotation(P<0.05),respectively.Diversified rotations decreased abundance of ammonia-oxidizing archaea(AOA)amoA,AOB amoA,nirK and nirS genes in both wheat and maize seasons,while increased abundance of nosZ gene in maize season,leading to lower soil N2O emissions.Changes in these functional genes correlated significantly with soil moisture,nitrogen availability,and enzyme activity(L-leucine aminopeptidase and Urease).Besides,diversified rotations increased number of nodes,edges and degree of the co-occurring network and sub-network,while reduced average path length and betweeness.These microbial co-occurrence network complexity indicators were significantly correlated with N2O emissions.This indicates that increase in aboveground crop diversity drives the increase in complexity of belowground N-cycling related microbial interaction networks,which leads to lower N2O emissions.In summary,diversified rotations show promising potentials to lower N2O emissions in agricultural soils.
摘要While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easily be imagined that,without proper design,the enrichment of 6G will further increase system complexity.To address this issue,we propose the Agentic-AI Core(A-Core),an artificial intelligence(AI)-empowered,mission-oriented core network architecture for next-generation mobile telecommunications.In A-Core,network capabilities can be added and updated on the fly and further programmed into missions for enabling and offering diverse services to customers.These missions are created and executed by autonomous network agents according to the customer's intent,which may be expressed in natural language.The agents resolve intents from customers into workflows of network capabilities by leveraging a large-scale network AI model and follow the workflows to execute the mission.As an open,agile system architecture,A-Core holds promise for accelerating innovation and greatly reducing standard release times.The advantages of A-Core are demonstrated through two use cases.
基金National Key Research and Development Program of China,No.2019YFD1101304National Natural Science Foundation of China,No.52278059+1 种基金Natural Science Foundation of Hunan Province of China,No.2024JJ8316Hunan Provincial Innovation Foundation For Postgraduate,No.CX20250634。
摘要Urban spatial morphology(USM)optimization is critical to balancing biodiversity conservation and sustainable urbanization.However,previous studies predominantly focused on the socio-economic efficiency and static ecological metrics and rarely addressed the dynamic USM optimization across spatial scales.Here,we developed a multi-level ecological network(MEN)framework to resolve the tension between urban expansion and ecological integrity.By integrating the cost-weighted distance analysis with a hierarchical network transmission mechanism,we established a cross-scale spatial optimization system,which coordinated the regional ecological corridors and local habitat patches.Comparative experiments with conventional single-scale approaches and scenario simulations using the PLUS model show that the MEN framework had superior performance in three dimensions:(1)spatial governance:the primary-level network(peri-urban natural reserves)effectively contained urban sprawl,and the secondary-level network(intra-urban green corridors)mitigated habitat fragmentation and improved the built-environment;(2)scenario robustness:the model maintained an optimal compactness-loose balance in multiple development pathways;(3)landscape metrics:patch fragmentation decreased by 18.25%,and the internal landscape richness improved by 10.66%compared to the scenario without USM optimization.The findings provide new insight to establish a hierarchical ecological optimization framework as a nature-based spatial protocol to reconcile metropolitan growth with landscape sustainability.