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Space-Terrestrial Integrated 6G Network:Architecture,Networking,and Transmission Technologies 认领 引用
1
作者 Kuang Linling Wang Jianxiu +1 位作者 Zhang Jianhua Wang Shuai 《China Communications》 SCIE EI CSCD 2026年第3期I0002-I0004,共3页
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
关键词 communication technologiesthe g network satellite constellations space terrestrial integrated g network terrestrial networks artificial intelligence ai intelligent interconnection satellite networks
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Spectrum Semantics-Driven DAG Mainchain Consensus for Efficient Spectrum Sharing in Space-Terrestrial Integrated Network 认领 引用
2
作者 Liang Yifei Zhao Youping 《China Communications》 SCIE EI CSCD 2026年第3期21-36,共16页
Space–terrestrial integrated networks(STIN)require a trustworthy and auditable environment for multi-party spectrum sharing under dynamic and heterogeneous conditions.Blockchain,as a decentralized ledger,exhibits pro... Space–terrestrial integrated networks(STIN)require a trustworthy and auditable environment for multi-party spectrum sharing under dynamic and heterogeneous conditions.Blockchain,as a decentralized ledger,exhibits promising properties such as transparency and tamper resistance,making it a potential enabler for such scenarios.However,conventional blockchain-based approaches tightly couple strategy execution with transaction consensus,resulting in excessive overhead and poor adaptability to fastchanging spectrum semantics.To address these issues,this paper presents a spectrum-semantics-driven metaconsensus framework built upon a directed acyclic graph(DAG)mainchain architecture.By decoupling policy optimization from on-chain coordination and leveraging semantic representations of spectrum states for meta-level consensus and policy migration,the framework enables agile and scalable spectrum sharing across dynamically clustered network agents.Simulation results verify that the proposed design significantly enhances spectrum utilization and adaptability while maintaining decentralized transparency and auditability in large-scale STIN environments. 展开更多
关键词 blockchain consensus mechanism spaceterrestrial integrated network spectrum sharing
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Optimizing Routing Algorithms for Next-Generation Networks:A Resilience-Driven Framework for Space-Air-Ground Integrated Networks 认领 引用
3
作者 Peiying Zhang Yihong Yu +3 位作者 Jia Luo Nguyen Gia Ba Lizhuang Tan Lei Shi 《Computers, Materials & Continua》 SCIE EI 2026年第5期1177-1190,共14页
Next-GenerationNetworks(NGNs)demand high resilience,dynamic adaptability,and efficient resource utilization to enable ubiquitous connectivity.In this context,the Space-Air-Ground Integrated Network(SAGIN)architecture ... Next-GenerationNetworks(NGNs)demand high resilience,dynamic adaptability,and efficient resource utilization to enable ubiquitous connectivity.In this context,the Space-Air-Ground Integrated Network(SAGIN)architecture is uniquely positioned to meet these requirements.However,conventional NGN routing algorithms often fail to account for SAGIN’s intrinsic characteristics,such as its heterogeneous structure,dynamic topology,and constrained resources,leading to suboptimal performance under disruptions such as node failures or cyberattacks.To meet these demands for SAGIN,this study proposes a resilience-oriented routing optimization framework featuring dynamic weighting and multi-objective evaluation.Methodologically,we define three core routing performance metrics,quantified through a four-dimensionalmodel,encompassing robustness Rd,resilience Rr,adaptability Ra,and resource utilization efficiency Ru,and integrate them into a comprehensive evaluation metric.In simulated SAGIN environments,the proposed Multi-Indicator Weighted Resilience Evaluation Algorithm(MIW-REA)demonstrates significant improvements in resilience enhancement,recovery acceleration,and resource optimization.It maintains 82.3%service availability even with a 30%node failure rate,reduces Distributed Denial of Service(DDoS)attack recovery time by 43%,decreases bandwidth waste by 23.4%,and lowers energy consumption by 18.9%.By addressing challenges unique to the SAGIN network,this research provides a flexible real-time solution for NGN routing optimization that balances resilience,efficiency,and adaptability,advancing the field. 展开更多
关键词 Space-air-ground integrated network next-generation networks routing optimization resiliencedriven routing dynamic weighting multi-metric assessment
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Cascading Failure Dynamics and Edge-Intelligent Defense in Space-Air-Ground Integrated Networks for Internet of Things 认领 引用
4
作者 Peiying Zhang Yihong Yu +3 位作者 Lizhuang Tan Shuqing He Jian Wang Ameer El-Sayed 《Computers, Materials & Continua》 SCIE EI 2026年第8期865-880,共16页
As a core information infrastructure in the 6G era,the Space-Air-Ground Integrated Network(SAGIN)integrates space-based,air-based,and ground-based network resources to achieve seamless communication across all domains... As a core information infrastructure in the 6G era,the Space-Air-Ground Integrated Network(SAGIN)integrates space-based,air-based,and ground-based network resources to achieve seamless communication across all domains.However,its characteristics such as heterogeneous node coupling and dynamic topology changes make it prone to cascading failures,severely threatening critical business continuity in Internet of Things(IoT)applications spanning smart cities,healthcare,transportation,and industrial automation.This paper conducts systematic research addressing challenges including modeling difficulties in SAGIN cascading failure propagation,insufficient coordination of defense strategies,and poor resource adaptability.First,a multi-factor coupled dynamic model of cascading failure propagation is established to quantify the synergistic effects of node heterogeneity,link dynamics,and load redistribution.Second,a closed-loop collaborative defense system integrating“early warning-isolation-self-healing”is designed.The system incorporates a lightweight greedy-based self-healing algorithm and uses multi-criteria decision-making(Analytic Hierarchy Process)for resource optimization.These approaches ensure real-time performance and energy efficiency on resource-constrained edge nodes.Third,a joint simulation platform combining NS-3 and MATLAB is built to validate the model and strategies across diverse IoT application scenarios.Experimental results show that the proposed propagation model maintains prediction error within 10%,the defense strategies increase failure recovery rates to 85%–90%,reduce communication interruption duration by over 60%,and lower resource overhead by 20%–25%,providing theoretical support and technical guarantees for stable SAGIN operation in security and resiliency-critical environments. 展开更多
关键词 Space-Air-Ground Integrated Network cascading failure defense strategy edge intelligence Internet of Things resource allocation and optimization real-time and energy efficiency security and resiliency network reliability
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6G Space-Air-Ground Integrated Networks for Unmanned Operations:Closed-Loop Model and Task-Oriented Approach 认领 引用
5
作者 Xinran Fang Wei Feng +3 位作者 Yunfei Chen Ning Ge Shi Jin Shiwen Mao 《Engineering》 SCIE EI CSCD 2026年第1期79-86,共8页
In the upcoming sixth-generation(6G)era,supporting field robots for unmanned operations has emerged as an important application direction.To provide connectivity in remote areas,the space-air-ground integrated network... In the upcoming sixth-generation(6G)era,supporting field robots for unmanned operations has emerged as an important application direction.To provide connectivity in remote areas,the space-air-ground integrated network(SAGIN)will play a crucial role in extending coverage.Through SAGIN connections,the sensors,edge platforms,and actuators form sensing-communication-computing-control(SC3)loops that can automatically execute complex tasks without human intervention.Similar to the reflex arc,the SC3loop is an integrated structure that cannot be deconstructed.This necessitates a systematic approach that takes the SC3loop rather than the communication link as the basic unit of SAGINs.Given the resource limitations in remote areas,we propose a radio-map-based task-oriented framework that uses environmental and task-related information to enable task-matched service provision.We detail how the network collects and uses this information and present task-oriented scheduling schemes.In the case study,we use a control task as an example and validate the superiority of the task-oriented closedloop optimization scheme over traditional communication schemes.Finally,we discuss open challenges and possible solutions for developing nerve system-like SAGINs. 展开更多
关键词 Radio map Sensing-communication-computing-control(SC3)loop Space-air-ground integrated network Sixth-generation(6G)communication Task-oriented communication
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Call for Papers─Feature Topic Vol.23,No.1,2026 Space-Terrestrial Integrated 6G Network:Architecture,Networking,and Transmission Technologies 认领 引用
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《China Communications》 SCIE EI CSCD 2025年第6期F0003-F0003,共1页
With the large-scale deployment of satellite constellations such as Starlink and the rapid advancement of technologies including artificial intelligence (AI) and non-terrestrial networks (NTNs), the integration of hig... With the large-scale deployment of satellite constellations such as Starlink 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
关键词 communication technologiesthe space terrestrial integrated G network g network satellite constellations terrestrial networks artificial intelligence ai intelligent int satellite networks
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Recurrent MAPPO for Joint UAV Trajectory and Traffic Offloading in Space-Air-Ground Integrated Networks 认领 引用 被引量：1
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作者 Zheyuan Jia Fenglin Jin +1 位作者 Jun Xie Yuan He 《Computers, Materials & Continua》 SCIE EI 2026年第1期447-461,共15页
This paper investigates the traffic offloading optimization challenge in Space-Air-Ground Integrated Networks(SAGIN)through a novel Recursive Multi-Agent Proximal Policy Optimization(RMAPPO)algorithm.The exponential g... This paper investigates the traffic offloading optimization challenge in Space-Air-Ground Integrated Networks(SAGIN)through a novel Recursive Multi-Agent Proximal Policy Optimization(RMAPPO)algorithm.The exponential growth of mobile devices and data traffic has substantially increased network congestion,particularly in urban areas and regions with limited terrestrial infrastructure.Our approach jointly optimizes unmanned aerial vehicle(UAV)trajectories and satellite-assisted offloading strategies to simultaneously maximize data throughput,minimize energy consumption,and maintain equitable resource distribution.The proposed RMAPPO framework incorporates recurrent neural networks(RNNs)to model temporal dependencies in UAV mobility patterns and utilizes a decentralized multi-agent reinforcement learning architecture to reduce communication overhead while improving system robustness.The proposed RMAPPO algorithm was evaluated through simulation experiments,with the results indicating that it significantly enhances the cumulative traffic offloading rate of nodes and reduces the energy consumption of UAVs. 展开更多
关键词 Space-air-ground integrated networks UAV traffic offloading reinforcement learning
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Generalized Kennedy receivers enhanced CV-QKD in turbulent channels for endogenous security of space-air-ground integrated network 认领 引用
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作者 Shouye Miao Mugen Peng +3 位作者 Renzhi Yuan Bin Cao Mufei Zhao Zhifeng Wang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期332-342,共11页
Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years.A typical solution to endogenous security problems is the Quantum Key Distribution(QKD),where uncond... Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years.A typical solution to endogenous security problems is the Quantum Key Distribution(QKD),where unconditional security can be achieved thanks to the inherent properties of quantum mechanics.Continuous Variable-Quantum Key Distribution(CV-QKD)enjoys high Secret Key Rate(SKR)and good compatibility with existing optical communication infrastructure.Traditional CV-QKD usually employ coherent receivers to detect coherent states,whose detection performance is restricted to the standard quantum limit.In this paper,we employ a generalized Kennedy receiver called CD-Kennedy receiver to enhance the detection performance of coherent states in turbulent channels,where Equal-Gain Combining(EGC)method is used to combine the output of CD-Kennedy receivers.Besides,we derive the SKR of a post-selection based CV-QKD protocol using both CD-Kennedy receiver and homodyne receiver with EGC in turbulent channels.We further propose an equivalent transmittance method to facilitate the calculation of both the Bit-Error Rate(BER)and SKR.Numerical results show that the CD-Kennedy receiver can outperform the homodyne receiver in turbulent channels in terms of both BER and SKR performance.We find that BER and SKR performance advantage of CD-Kennedy receiver over homodyne receiver demonstrate opposite trends as the average transmittance increases,which indicates that two separate system settings should be employed for communication and key distribution purposes.Besides,we also demonstrate that the SKR performance of a CD-Kennedy receiver is much robust than that of a homodyne receiver in turbulent channels. 展开更多
关键词 CV-QKD Endogenous security Generalized Kennedy receiver Space-air-ground integrated network Turbulent channels
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A Heterogeneous Graph Cooperative Representation Approach for Multidimensional Coupling Resources in High-Dynamic Satellite-Terrestrial Integrated Networks 认领 引用
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作者 Fan Tian Hu Bo +2 位作者 Zhou Jizhe Chen Shanzhi Wang Guangchao 《China Communications》 SCIE EI CSCD 2026年第3期68-86,共19页
Satellite-terrestrial integrated networks(STINs)are a key enabler for ubiquitous coverage in 6G communication services.However,the satelliteterrestrial resources exhibit multi-dimensional heterogeneity and inherent co... Satellite-terrestrial integrated networks(STINs)are a key enabler for ubiquitous coverage in 6G communication services.However,the satelliteterrestrial resources exhibit multi-dimensional heterogeneity and inherent conflicts,and the rapid topology variations caused by the high-speed motion of low earth orbit(LEO)satellites lead to the difficulty of maintaining a stable mapping of satellite-terrestrial resources.This dynamic nature ultimately reduces the overall resource utilization efficiency.In this paper,we propose a heterogeneous graph cooperative representation approach for satellite-terrestrial resources and a joint optimization method of transmissioncomputation resources.Firstly,we construct a heterogeneous graph that achieves mapping between multidimensional resources,dynamic topology,and conflict constraints through typed nodes and edges,where resource cooperativeness is explicitly encoded.Secondly,an STIN transmission-computation model is constructed,and an optimization problem is formulated to jointly resolve conflicts between four objectives.Finally,the proposed many-objective double deep Q-network(DDQN)algorithm achieves the cooperative strategy optimization of task transmissioncomputation scheduling globally.Simulation experiments show that the proposed algorithm improves the overall resource utilization by up to 11.7%under various access points(APs)and user sizes.Meanwhile,the performance is more stable compared with five algorithms,including deep Q-network(DQN),and a Lyapunov-based optimization method(LyaOpt). 展开更多
关键词 deep reinforcement learning many-objective optimization multi-dimensional resource optimization satellite-terrestrial integrated networks
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Spectral-Integrated Neural Networks for Transient Heat Conduction in Thin-Walled Structures 认领 引用
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作者 Ting Gao Chengze Shang +1 位作者 Juan Wang Yan Gu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期253-268,共16页
An efficient data-driven numerical framework is developed for transient heat conduction analysis in thin-walled structures.The proposed approach integrates spectral time discretization with neural network approximatio... An efficient data-driven numerical framework is developed for transient heat conduction analysis in thin-walled structures.The proposed approach integrates spectral time discretization with neural network approximation,forming a spectral-integrated neural network(SINN)scheme tailored for problems characterized by long-time evolution.Temporal derivatives are treated through a spectral integration strategy based on orthogonal polynomial expansions,which significantly alleviates stability constraints associated with conventional time-marching schemes.A fully connected neural network is employed to approximate the temperature-related variables,while governing equa-tions and boundary conditions are enforced through a physics-informed loss formulation.Numerical investigations demonstrate that the proposed method maintains high accuracy even when large time steps are adopted,where standard numerical solvers often suffer from instability or excessive computational cost.Moreover,the framework exhibits strong robustness for ultrathin configurations with extreme aspect ratios,achieving relative errors on the order of 10−5 or lower.These results indicate that the SINN framework provides a reliable and efficient alternative for transient thermal analysis of thin-walled structures under challenging computational conditions. 展开更多
关键词 Physics-informed neural networks spectral time integration transient heat conduction thin-walled structures
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Integrated silicon photonic transceivers for bidirectional continuous-variable quantum key distribution in metropolitan ring networks 认领 引用
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作者 YANKAI XU TAO WANG +4 位作者 LANG LI HANWEN YIN XU LIU PENG HUANG GUIHUA ZENG 《Photonics Research》 SCIE EI CAS CSCD 2026年第5期2210-2222,共13页
Metropolitan quantum key distribution(QKD)networks face scalability bottlenecks from limited fiber resources and high deployment costs.Although photonic integration enables miniaturization,current implementations are ... Metropolitan quantum key distribution(QKD)networks face scalability bottlenecks from limited fiber resources and high deployment costs.Although photonic integration enables miniaturization,current implementations are largely restricted to unidirectional configurations,limiting topological flexibility.Here,we report a monolithic silicon photonic continuous-variable(CV)QKD transceiver tailored for simultaneous bidirectional operation.Integrating high-linearity modulators and high-sensitivity coherent detectors on a silicon-on-insulator(SOI)platform,we employ a frequency division duplexing(FDD)strategy combined with pilot-aided digital signal processing to effectively suppress crosstalk and backscattering. 展开更多
关键词 photonic integration fiber resources scalability bottlenecks scalability monolithic silicon photonic metropolitan ring networks bidirectional continuous variable quantum key distribution bidirectional operationintegrating
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Joint Handover and Routing Optimization via Heterogeneous GNN-Enhanced DRL for Satellite-Ground Integrated Networks 认领 引用
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作者 Jiang Jiayi Deng Xiaofei +1 位作者 Wang Denghao Zhang Xiaoning 《China Communications》 SCIE EI CSCD 2026年第4期196-213,共18页
The satellite-ground integrated Networks(SGIN)emerge as a promising paradigm to extend the coverage and resilience of terrestrial networks.However,the high mobility and intermittent connectivity of satellites lead to ... The satellite-ground integrated Networks(SGIN)emerge as a promising paradigm to extend the coverage and resilience of terrestrial networks.However,the high mobility and intermittent connectivity of satellites lead to inevitable ground-satellite handovers.Existing handover algorithms often overlook the inherent interdependence between ground-satellite handover and inter-satellite routing,resulting in suboptimal performance and degraded quality of service(QoS).To address these issues,we propose a heterogeneous graph neural networks-enhanced deep reinforcement learning(HGRL)algorithm for joint handover and routing optimization.First,we propose the semantic-based heterogeneous graph neural networks(SHGNN)to model SGIN as a heterogeneous graph,capturing the intricate relationships between handover and routing through diverse representations of nodes and edges.Then,we embed the SHGNN into a deep reinforcement learning(DRL)framework,enabling QoS-aware decisions for both ground-satellite handover and inter-satellite routing.Additionally,a non-dominated crowding sorting(NCS)mechanism is proposed to prune alternative paths while balancing multiple QoS objectives.Finally,extensive simulations in NS3 show that HGRL outperforms state-of-the-art algorithms,reducing the handover times and average delay by 63.63%and 36.85%,and improving the average throughput by 26.53%. 展开更多
关键词 deep reinforcement learning graph neural networks handover routing satellite-ground integrated networks
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Hybrid body area network with integrated sensing and communication for AIoT smart healthcare 认领 引用
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作者 Chao Ren Ziyun Peng +5 位作者 Chao Gong Haojin Li Chen Sun Jiahao Huo Lei Sun Xianmei Wang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第5期776-788,共13页
For more accessible and advanced health monitoring,the Body Area Network(BAN)design with semantic technologies offers efficient information sensing and communication in smart healthcare Artificial Intelligence of Thin... For more accessible and advanced health monitoring,the Body Area Network(BAN)design with semantic technologies offers efficient information sensing and communication in smart healthcare Artificial Intelligence of Things(AIoT).To address the critical challenges of effective communication and reduction of data transmission pressure in AIoT-BAN,a hybrid BAN system is proposed which enhances information processing and communication capabilities by leveraging semantic understanding and multimodal processing.It incorporates a semantic communication and sensing fusion framework,offloading based on the human Body Coupled Communication(BCC)channel,and multimodal semantic information integration to reduce data transmission pressure.The proposed method offers effective inclusive smart healthcare and daily health maintenance for the general public. 展开更多
关键词 Artificial Intelligence of Things Smart healthcare Integrated sensing and communication Body area network
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Blockchain Based Secure Relay Scheme for Space-Terrestrial Integrated Networks 认领 引用 被引量：2
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作者 Zhen Gao Jiuzhi Zhang +3 位作者 Dongbin Zhang Ailing Wang Chengkang Pan Xin Li 《China Communications》 SCIE CSCD 2023年第5期170-181,共12页
The future 6G networks will integrates space and terrestrial networks to realize a fully connected world with extensive collaboration.However,how to build trust between multiple parties is a difficult problem for secu... The future 6G networks will integrates space and terrestrial networks to realize a fully connected world with extensive collaboration.However,how to build trust between multiple parties is a difficult problem for secure cooperation without a reliable third-party.Blockchain is a promising technology to solve this problem by converting the trust between multi-parties to the trust to the common shared data.Several works have proposed to apply the incentive mechanism in blockchain to encourage effective cooperation,but how to evaluate the cooperation performance and avoid breach of contract is not discussed.In this paper,a secure relay scheme is proposed based on the consortium blockchain system composed by different operators.In particular,smart contract checks the integrity of the message based on RSA accumulator,and executes transactions automatically when the message is delivered successfully.Detailed procedures are introduced for both uplink and downlink relay.Implementation based on Hyperledger Fabric proves the effectiveness of the proposed scheme and shows that the complexity of the scheme is low enough for practical deployment. 展开更多
关键词 space-terrestrial integrated network secure relay blockchain Hyperledger Fabric
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Early warning of core network capacity in space-terrestrial integrated networks 认领 引用 被引量：1
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作者 HAN Sai LI Ao +5 位作者 ZHANG Dongyue ZHU Bin WANG Zelin WANG Guangquan MIAO Jie MA Hongbing 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第4期855-864,共10页
With the rapid development of low-orbit satellite com-munication networks both domestically and internationally,space-terrestrial integrated networks will become the future development trend.For space and terrestrial ... With the rapid development of low-orbit satellite com-munication networks both domestically and internationally,space-terrestrial integrated networks will become the future development trend.For space and terrestrial networks with limi-ted resources,the utilization efficiency of the entire space-terres-trial integrated networks resources can be affected by the core network indirectly.In order to improve the response efficiency of core networks expansion construction,early warning of the core network elements capacity is necessary.Based on the inte-grated architecture of space and terrestrial network,multidimen-sional factors are considered in this paper,including the number of terminals,login users,and the rules of users’migration during holidays.Using artifical intelligence(AI)technologies,the regis-tered users of the access and mobility management function(AMF),authorization users of the unified data management(UDM),protocol data unit(PDU)sessions of session manage-ment function(SMF)are predicted in combination with the num-ber of login users,the number of terminals.Therefore,the core network elements capacity can be predicted in advance.The proposed method is proven to be effective based on the data from real network. 展开更多
关键词 space-terrestrial integrated networks core network element capacity artificial intelligent(AI)
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Structural-state integrated modeling of multi-mechanism formation damage during drilling-completion 认领 引用
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作者 Ke-Ming Sheng Guan-Cheng Jiang +2 位作者 Ming-Liang Du Lan Qiao Yin-Bo He 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1929-1954,共26页
To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integra... To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integrated modeling framework for multi-mechanism coupling throughout the entire drilling and completion process.Five dominant damage mechanisms are unified into a multi-physics formulation featuring a dual solid–liquid module architecture and a shared-state coupling mechanism.A structural-state integrated damage function(SSIDF)is introduced to establish a continuous mapping from microscopic mechanism evolution to macroscopic permeability degradation.A feedback network encompassing scaling,clay swelling,and water blocking is further developed,achieving bidirectional dynamic coupling among reaction kinetics,interfacial transport,and saturation fields,and representing one of the most systematic coupling schemes currently known.The model is solved via a space-time multi-scale optimization strategy,ensuring strong numerical stability and scalability.Field validation demonstrates a prediction accuracy of 98.6%,representing an improvement of over 8%compared to traditional additive models.The model is particularly applicable to unconventional reservoirs such as deepwater formations,where multi-mechanism damage evolves rapidly and conventional additive models fail to capture dynamic coupling behavior. 展开更多
关键词 Drilling and completion integration Unified modeling Multi-mechanism coupling Structural-state integrated damage function(SSIDF) Feedback network Structural disturbance function
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Integrated multi-omics dissects receptor-mediated phytomelatonin signaling 认领 引用
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作者 Ying Liu Shirui Jing +5 位作者 Yuhao Zheng Qiuyu He Chengcheng Shen Junxin Guo Yangdong Guo Na Zhang 《Horticultural Plant Journal》 SCIE CAS CSCD 2026年第2期485-488,共4页
Phytomelatonin,an emerging plant hormone,plays vital roles in plant growth,development,and stress adaptation(Arnao et al.,2022;Ullah et al.,2024).It acts both as a direct antioxidant and a signaling molecule,engaging ... Phytomelatonin,an emerging plant hormone,plays vital roles in plant growth,development,and stress adaptation(Arnao et al.,2022;Ullah et al.,2024).It acts both as a direct antioxidant and a signaling molecule,engaging complex networks and interacting with other phytohormones(Liu et al.,2022;Khan et al.,2023).Although phytomelatonin receptors(PMTRs)have been identified in many plants(Wei et al.,2018;Wang et al.,2022;Liu et al.,2025),the downstream signaling mechanisms,particularly receptor-mediated protein modifications and transcriptional regulation,remain poorly characterized. 展开更多
关键词 phytomelatonin receptors pmtrs transcriptional regulation signaling moleculeengaging complex networks integrated multi omics phytohormones protein modifications plant hormoneplays phytomelatonin signaling
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Knowledge-Data Fusion Model for Multivariate Load Short-Term Forecasting of Integrated Energy System 认领 引用
18
作者 WU Lizhen ZHAO Yifan +1 位作者 QIN Wenbin CHEN Wei 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第2期499-514,共16页
The short-term forecasting of multiple loads is crucial for the optimization and scheduling of integrated energy system(IES).However,the load within the IES exhibits diversified and strongly coupled characteristics,wh... The short-term forecasting of multiple loads is crucial for the optimization and scheduling of integrated energy system(IES).However,the load within the IES exhibits diversified and strongly coupled characteristics,which seriously affects the forecast accuracy.Moreover,only using deep learning forecasting methods cannot analyze the factors that affect the forecast results,which is not conducive to guiding the optimization and scheduling of comprehensive energy systems.Therefore,a multivariate load forecasting model based on knowledge-guided multi-task spatial-temporal synchronous graph convolutional network is proposed.Firstly,the user clusters are classified according to the energy-using characteristics of different buildings.Then,the domain knowledge base is built by combining the dimensionless trends of different groups and expert experience.At the same time,the input features are filtered based on the improved maximum information coefficient method to construct spatialtemporal graph data,forming a more refined and efficient input sample data.Finally,the knowledge-data fusion model for multivariate load forecasting is constructed to predict local fluctuations of the multivariate load series and reconstruct the load ratio.The IES data set of Arizona State University Tempe Campus is taken as a test case.The results show that the proposed method is interpretable,has higher forecast accuracy and has better generalization ability. 展开更多
关键词 integrated energy system(IES) multivariate load forecasting knowledge guide multi-task learning spatial-temporal synchronous graph convolutional network
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Multi-Band Integrated Networking for Efficient Spectrum Utilization in 6G 认领 引用 被引量：2
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作者 Wang Ailing Kong Lei +4 位作者 Liu Jianjun Xia Liang Wang Xiaoqian Wang Qixing Liu Guangyi 《China Communications》 SCIE EI CSCD 2025年第4期42-54,共13页
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
关键词 full spectrum access high and low frequency collaboration multi-band integrated networking 6G spectrum efficiency
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Network-Layer Perspectives on Satellite-Terrestrial Integrated Networks in 6G:A Comprehensive Review 认领 引用 被引量：1
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作者 Nuo Chen Yujie Song +5 位作者 Yue Cao Zhili Sun Bo Zhao Mi Wang Debiao He Guojun Peng 《Engineering》 SCIE EI CSCD 2025年第11期69-92,共24页
Satellite-terrestrial networks have garnered significant attention in recent years and are extensively applied in intelligent transportation and emergency rescue.This paper provides a comprehensive review of the lates... Satellite-terrestrial networks have garnered significant attention in recent years and are extensively applied in intelligent transportation and emergency rescue.This paper provides a comprehensive review of the latest research advancements in satellite-terrestrial integrated network(STIN)technologies from a network perspective,dividing STIN technologies into three categories according to network service flows—namely,topology maintenance,network routing,and orchestration transmission technologies.Furthermore,a novel network-layer perspective is considered to examine the applications of STINs across various domains,along with related frameworks,platforms,simulators,and datasets.Finally,this paper explores the mainstream research directions in STIN technologies,with an innovative focus on the network layer.It reviews the existing literature,outlines future trends,and discusses opportunities for collaboration with related fields. 展开更多
关键词 Satellite-terrestrial integration Network technology Intelligent transportation
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