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5G Advanced Network Supporting LEO Satellite with User Plane Function 认领 引用
1
作者 Wang Hucheng Liu Liang +3 位作者 Chen Shanzhi Ji Junwei Xu Hui 无 《China Communications》 SCIE EI CSCD 2026年第1期140-153,共14页
As investigated by 3GPP,support of UPF(user plane function)onboard satellite can reduce the latency of communications via satellite,and then it becomes a key enhancement in 5G network integrating with satellite commun... As investigated by 3GPP,support of UPF(user plane function)onboard satellite can reduce the latency of communications via satellite,and then it becomes a key enhancement in 5G network integrating with satellite communication.However,current 5G system cannot support UPF onboard LEO(low earth orbit)satellites,as it would face challenges like UPF mobility handling,synchronization between mobile network and satellite network,and condition of activating local data switching.To solve such challenges,this paper proposes a solution to support UPF onboard LEO satellite,which consists of enhanced network architecture,I-UPF(intermediate UPF)based local data switching scheme and communication latency based data path selection.We subsequently develop analytic models for performance evaluation and conduct simulations using the constellation configuration of iridium II.The simulation results show that the data switching via I-UPF onboard LEO satellite can reduce E2E(end to end)packet delivery latency and E2E packet loss ratio significantly compared with that of routing the data back to 5GC on the ground.The proposed scheme yet has increased signaling cost for handling UPF mobility.els,compared with existing similar companding algorithms. 展开更多
关键词 data switching 5G network LEO satellite UPF mobility
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Satellite handover strategies based on minimum routing hops for mega LEO satellite networks 认领 引用
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作者 ZHU Hongtao WANG Xinyu +2 位作者 WANG Zhenyong LI Dezhi GUO Qing 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第1期64-74,共11页
Mega low Earth orbit(LEO)satellite networks serve as effective complements to terrestrial networks.However,the dual mobility of users and LEO satellites makes inter-satellite handovers more frequent for users.Moreover... Mega low Earth orbit(LEO)satellite networks serve as effective complements to terrestrial networks.However,the dual mobility of users and LEO satellites makes inter-satellite handovers more frequent for users.Moreover,there are both ascending and descending segments in widely deployed walker-delta constellations.Even if the locations of users do not change,when the access satellites of the communicating parties are not in the same ascending or descending segment,the end-to-end latency between them will increase.To address this challenge,the self-decision handover(SDH)strategy and the joint decision handover(JDH)strategy are proposed,and they both incorporate the routing hops as a crucial handover criterion to minimize the end-to-end latency.In addition,the shortest route hop-count algorithm is designed to assist in the handover decision-making process.Simulations demonstrate that the proposed handover strategies outperform the traditional handover strategies in terms of the number of handovers and end-to-end latency. 展开更多
关键词 mega low Earth orbit(LEO)satellite network walker-delta constellation self-decision handover joint decision handover minimum routing hop
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SatTED:An End-to-End Approach to Traffic Engineering with Deterministic QoS Guarantees in SDN-Based Satellite Networks 认领 引用
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作者 Xie Jindou Liu Peilong +2 位作者 Huang Linan Yan Jian Kuang Linling 《China Communications》 SCIE EI CSCD 2026年第3期1-20,共20页
Ensuring end-to-end quality of service(QoS)for high-value services in satellite networks is challenging due to dynamic network topologies,varying QoS requirements,and the complex resource allocation across satellite b... Ensuring end-to-end quality of service(QoS)for high-value services in satellite networks is challenging due to dynamic network topologies,varying QoS requirements,and the complex resource allocation across satellite beams and inter-satellite links.To this end,we propose a satellite traffic engineering framework with deterministic QoS(SatTED)by jointly optimizing resource allocation across access and bearer subnets.To tackle the complexity of joint scheduling,SatTED adopts a hierarchical logic-based benders decomposition(LBBD)architecture that coordinates access and bearer subnet resources.The master problem optimizes service admission and satellite selection via binary integer programming,while the subproblem handles routing and bandwidth allocation through linear programming relaxation.Key innovations include scenario-cognizant Benders feasibility cuts to accelerate convergence and a critical constraint link preprocessing(CCLP)mechanism that reduces subproblem complexity by 5.15×in large-scale networks.In simulations on a 220-satellite network with 1000 flows,SatTED improves total service payoff by 32%and increases high-value flow completion rates by 22%. 展开更多
关键词 quality of service satellite networks traffic engineering
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Multi-Granularity Traffic Prediction for Satellite Networks Based on Dynamic Adaptive Graph Modeling 认领 引用
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作者 Xu Chen Li Yang Guohao Qiu 《Computers, Materials & Continua》 SCIE EI 2026年第6期2003-2029,共27页
Traffic prediction plays a crucial role in the efficient operation of satellite networks.However,due to resource consumption arising from redundant training of multiple individual prediction models,the dynamic and cou... Traffic prediction plays a crucial role in the efficient operation of satellite networks.However,due to resource consumption arising from redundant training of multiple individual prediction models,the dynamic and coupled spatial-temporal relationship of traffic,and maintenance of accurate traffic proportions,this problem is non-trivial to solve.Therefore,we consider this problem and makes the following contributions.First,a multi-granularity traffic prediction framework based on a shared feature extraction is designed to jointly predict total network traffic and service-specific traffic of satellite networks.This design ensures that both global and per service predictions benefit from common representations,reduces redundant computations and lowers overall model complexity.Second,a dynamic adaptive graph with Graph Diffusion Convolution(GDC)and Gated Recurrent Units(GRUs)is proposed to extract the spatial-temporal dependency of network traffic by fusing the features of population coverage,satellite distances and historical traffic data.Third,to preserve the proportional relationship of the network traffic,the angle-based loss is employed to minimize the angle deviation between the predicted and truth traffic vectors.Meanwhile,a multi-task loss function is proposed that jointly optimizes the total traffic prediction loss,the service-level losses,and the consistency regularization term to achieve accurate multi-granularity prediction.Numerical results demonstrate that the proposed framework can reduce prediction error and improve correlation for both global and service-level predictions. 展开更多
关键词 Multi-granularity traffic prediction satellite networks spatial-temporal modeling graph diffusion convolution
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HISA:Shared Onboard Processing for Protocol-Heterogeneous Satellite Networks 认领 引用
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作者 Wang Shuai Liu Kai +2 位作者 Liu Peilong Yan Jian Kuang Linling 《China Communications》 SCIE EI CSCD 2025年第7期220-233,共14页
Software-defined satellite networks(SDSNs)play an essential role in future networks.Due to the diverse service scenarios,SDSN faces the demand of packet processing for heterogeneous protocols.Existing packet switching... Software-defined satellite networks(SDSNs)play an essential role in future networks.Due to the diverse service scenarios,SDSN faces the demand of packet processing for heterogeneous protocols.Existing packet switching typically works on one single protocol.For protocol-heterogeneous users,existing packet switch architectures have to construct multiple protocol-specific switching instances,resulting in severe resource waste.In this article,we propose the heterogeneous protocol-independent packet switch architecture(HISA).HISA employs a fast parsing structure to achieve efficient heterogeneous packet parsing and a novel match-action pipeline to achieve shared packet processing among heterogeneous users.HISA can also support the online configuration of switching behaviors.Use cases illustrate the effectiveness of applying HISA in SDSN.Numerical results show that compared to existing packet switching,HISA can significantly improve the resource utilization of SDSN. 展开更多
关键词 heterogeneous protocol-independent packet switch architecture protocol-heterogeneous users shared packet processing software-defined satellite networks
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The Impact of Delay in Software-Defined Integrated Terrestrial-Satellite Networks 认领 引用 被引量：6
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作者 Luca Boero Mario Marchese Fabio Patrone 《China Communications》 SCIE CSCD 2018年第8期11-21,共11页
Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-gene... Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-generation(5 G) standardization committees are considering satellites as a technology to integrate in the 5 G environment. Software Defined Networking(SDN) is one of the paradigms of the next generation of mobile and fixed communications. It can be employed to perform different control functionalities, such as routing, because it allows traffic flow identification based on different parameters and traffic flow management in a centralized way. A centralized set of controllers makes the decisions and sends the corresponding forwarding rules for each traffic flow to the involved intermediate nodes that practically forward data up to the destination. The time to perform this process in integrated terrestrial-satellite networks could be not negligible due to satellite link delays. The aim of this paper is to introduce an SDN-based terrestrial satellite network architecture and to estimate the mean time to deliver the data of a new traffic flow from the source to the destination including the time required to transfer SDN control actions. The practical effect is to identify the maximum performance than can be expected. 展开更多
关键词 Integrated terrestrial-satellite net-works software defined networking software defined satellite networks delay estimation
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Software-Defined Space-Air-Ground Integrated Network Architecture with the Multi-Layer Satellite Backbone Network 认领 引用 被引量：2
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作者 Chao Guo Cheng Gong +3 位作者 Juan Guo Zhanzhen Wei Yanyan Han Sher Zaman Khan 《Computers, Materials & Continua》 SCIE EI 2020年第7期527-540,共14页
Under the background of the rapid development of ground mobile communication,the advantages of high coverage,survivability,and flexibility of satellite communication provide air support to the construction of space in... Under the background of the rapid development of ground mobile communication,the advantages of high coverage,survivability,and flexibility of satellite communication provide air support to the construction of space information network.According to the requirements of the future space information communication,a software-defined Space-Air-Ground Integrated network architecture was proposed.It consisted of layered structure satellite backbone network,deep space communication network,the stratosphere communication network and the ground network.The Space-Air-Ground Integrated network was supported by the satellite backbone network.It provided data relay for the missions such as deep space exploration and controlled the deep-space spacecraft when needed.In addition,it safeguarded the anti-destructibility of stratospheric communication and assisted the stratosphere to supplement ground network communication.In this paper,algorithm requirements of the congestion control and routing of satellite backbone protocols for heterogeneous users’services were proposed.The algorithm requirements of distinguishing different service objects for the deep space communication and stratospheric communication network protocols were described.Considering the realistic demand for the dynamic coverage of the satellite backbone network and node cost,the multi-layer satellite backbone network architecture was constructed.On this basis,the proposed Software-defined Space-Air-Ground Integrated network architecture could be built as a large,scalable and efficient communication network that could be integrated into space,air,and ground. 展开更多
关键词 Space-Air-Ground integrated network network architecture software-defined network multi-layer satellite backbone network
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Double Grouping-Based Group Handover Scheme for Mega LEO Satellite Networks 认领 引用 被引量：2
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作者 Zhu Hongtao Wang Zhenyong +2 位作者 Li Dezhi Yang Mingchuan Guo Qing 《China Communications》 SCIE EI CSCD 2025年第2期77-94,共18页
The rapid development of mega low earth orbit(LEO)satellite networks is expected to have a significant impact on 6G networks.Unlike terrestrial networks,due to the high-speed movement of satellites,users will frequent... The rapid development of mega low earth orbit(LEO)satellite networks is expected to have a significant impact on 6G networks.Unlike terrestrial networks,due to the high-speed movement of satellites,users will frequently hand over between satellites even if their positions remain unchanged.Furthermore,the extensive coverage characteristic of satellites leads to massive users executing handovers simultaneously.To address these challenges,we propose a novel double grouping-based group handover scheme(DGGH)specifically tailored for mega LEO satellite networks.First,we develop a user grouping strategy based on beam-limited hierarchical clustering to divide users into distinct groups.Next,we reframe the challenge of managing multiple users’simultaneous handovers as a single-objective optimization problem,solving it with a satellite grouping strategy that leverages the accuracy of greedy algorithms and the simplicity of dynamic programming.Additionally,we develop a group handover algorithm based on minimal handover waiting time to improve the satellite grouping process further.The detailed steps of the DGGH scheme’s handover procedure are meticulously outlined.Comprehensive simulations show that the proposed DGGH scheme outperforms single-user handover schemes in terms of handover signaling over-head and handover success rate. 展开更多
关键词 DGGH group handover mega LEO satellite networks satellite grouping user grouping
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Effects of Space Environment on Satellite Mega-Constellations:From Nodes and Links to Network Performance 认领 引用 被引量：2
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作者 Min Sheng Di Zhou +4 位作者 Sijing Ji Weigang Bai Yan Zhu Junyu Liu Jiandong Li 《Engineering》 SCIE EI CSCD 2025年第11期93-102,共10页
Satellite mega-constellations(SMCs)encounter significant operational challenges due to various space environmental effects.While the mechanisms underlying some of these effects have been studied from a physical perspe... Satellite mega-constellations(SMCs)encounter significant operational challenges due to various space environmental effects.While the mechanisms underlying some of these effects have been studied from a physical perspective,their precise impact on the network performance of SMCs remains unclear.To elucidate this further,this study investigates the spatiotemporal distribution characteristics of space environmental effects,such as solar radiation,ionizing radiation,and space debris,and the associated failure mechanisms in the nodes and links of SMCs.In addition,the impacts of solar radiation and single-event effects on performance of SMC system,particularly network throughput capacity,are examined.Results reveal that under the effect of the space environment,the throughput capacity degradation of SMC system varies with different parameters such as orbital altitude and inclination.Most importantly,the results bridge the gap between the physical phenomena of space environmental effects and network-level modeling.Finally,future research directions are prospected,regarding network topology control,constellation architecture,network routing techniques,and so on,to help mitigate network performance degradation due to space environmental effects. 展开更多
关键词 Satellite mega-constellations Network topology structure Space environmental effects System throughput capacity
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Offload Strategy for Edge Computing in Satellite Networks Based on Software Defined Network 认领 引用 被引量：2
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作者 Zhiguo Liu Yuqing Gui +1 位作者 Lin Wang Yingru Jiang 《Computers, Materials & Continua》 SCIE EI 2025年第1期863-879,共17页
Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable challenges.The sharp increase in us... Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable challenges.The sharp increase in user demand for latency-sensitive tasks has inevitably led to offloading bottlenecks and insufficient computational capacity on individual satellite edge servers,making it necessary to implement effective task offloading scheduling to enhance user experience.In this paper,we propose a priority-based task scheduling strategy based on a Software-Defined Network(SDN)framework for satellite-terrestrial integrated networks,which clarifies the execution order of tasks based on their priority.Subsequently,we apply a Dueling-Double Deep Q-Network(DDQN)algorithm enhanced with prioritized experience replay to derive a computation offloading strategy,improving the experience replay mechanism within the Dueling-DDQN framework.Next,we utilize the Deep Deterministic Policy Gradient(DDPG)algorithm to determine the optimal resource allocation strategy to reduce the processing latency of sub-tasks.Simulation results demonstrate that the proposed d3-DDPG algorithm outperforms other approaches,effectively reducing task processing latency and thus improving user experience and system efficiency. 展开更多
关键词 Satellite network edge computing task scheduling computing offloading
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Accurate and efficient elephant-flow classification based on co-trained models in evolved software-defined networks 认领 引用 被引量：1
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作者 Ling Xia Liao Changqing Zhao +2 位作者 Jian Wang Roy Xiaorong Lai Steve Drew 《Digital Communications and Networks》 SCIE EI CSCD 2025年第4期1090-1101,共12页
Accurate early classification of elephant flows(elephants)is important for network management and resource optimization.Elephant models,mainly based on the byte count of flows,can always achieve high accuracy,but not ... Accurate early classification of elephant flows(elephants)is important for network management and resource optimization.Elephant models,mainly based on the byte count of flows,can always achieve high accuracy,but not in a time-efficient manner.The time efficiency becomes even worse when the flows to be classified are sampled by flow entry timeout over Software-Defined Networks(SDNs)to achieve a better resource efficiency.This paper addresses this situation by combining co-training and Reinforcement Learning(RL)to enable a closed-loop classification approach that divides the entire classification process into episodes,each involving two elephant models.One predicts elephants and is retrained by a selection of flows automatically labeled online by the other.RL is used to formulate a reward function that estimates the values of the possible actions based on the current states of both models and further adjusts the ratio of flows to be labeled in each phase.Extensive evaluation based on real traffic traces shows that the proposed approach can stably predict elephants using the packets received in the first 10% of their lifetime with an accuracy of over 80%,and using only about 10% more control channel bandwidth than the baseline over the evolved SDNs. 展开更多
关键词 Software-defined network Flow classification Co-training Reinforcement learning Flow entry timeout
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DRL-AMIR: Intelligent Flow Scheduling for Software-Defined Zero Trust Networks 认领 引用 被引量：1
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作者 Wenlong Ke Zilong Li +5 位作者 Peiyu Chen Benfeng Chen Jinglin Lv Qiang Wang Ziyi Jia Shigen Shen 《Computers, Materials & Continua》 SCIE EI 2025年第8期3305-3319,共15页
Zero Trust Network(ZTN)enhances network security through strict authentication and access control.However,in the ZTN,optimizing flow control to improve the quality of service is still facing challenges.Software Define... Zero Trust Network(ZTN)enhances network security through strict authentication and access control.However,in the ZTN,optimizing flow control to improve the quality of service is still facing challenges.Software Defined Network(SDN)provides solutions through centralized control and dynamic resource allocation,but the existing scheduling methods based on Deep Reinforcement Learning(DRL)are insufficient in terms of convergence speed and dynamic optimization capability.To solve these problems,this paper proposes DRL-AMIR,which is an efficient flow scheduling method for software defined ZTN.This method constructs a flow scheduling optimization model that comprehensively considers service delay,bandwidth occupation,and path hops.Additionally,it balances the differentiated requirements of delay-critical K-flows,bandwidth-intensive D-flows,and background B-flows through adaptiveweighting.Theproposed framework employs a customized state space comprising node labels,link bandwidth,delaymetrics,and path length.It incorporates an action space derived fromnode weights and a hybrid reward function that integrates both single-step and multi-step excitation mechanisms.Based on these components,a hierarchical architecture is designed,effectively integrating the data plane,control plane,and knowledge plane.In particular,the adaptive expert mechanism is introduced,which triggers the shortest path algorithm in the training process to accelerate convergence,reduce trial and error costs,and maintain stability.Experiments across diverse real-world network topologies demonstrate that DRL-AMIR achieves a 15–20%reduction in K-flow transmission delays,a 10–15%improvement in link bandwidth utilization compared to SPR,QoSR,and DRSIR,and a 30%faster convergence speed via adaptive expert mechanisms. 展开更多
关键词 Zero trust network software-defined networking deep reinforcement learning flow scheduling
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Cross-Domain Time Synchronization in Software-Defined Time-Sensitive Networking 认领 引用 被引量：1
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作者 Zhang Xiaodong Shou Guochu +2 位作者 Li Hongxing Liu Yaqiong Hu Yihong 《China Communications》 SCIE EI CSCD 2025年第9期289-306,共18页
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
关键词 cross-domain time synchronization de-terministic communications error compensation software-defined networking(SDN) time-sensitive networking(TSN)
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Joint Power and Frequency Resource Allocation Algorithm for Integrated Satellite and Terrestrial Networks 认领 引用 被引量：1
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作者 Xue Guanchang Yang Mingchuan +2 位作者 Yuan Shuai Guo Qing Liu Xiaofeng 《China Communications》 SCIE EI CSCD 2025年第2期256-268,共13页
In this paper,we propose a joint power and frequency allocation algorithm considering interference protection in the integrated satellite and terrestrial network(ISTN).We efficiently utilize spectrum resources by allo... In this paper,we propose a joint power and frequency allocation algorithm considering interference protection in the integrated satellite and terrestrial network(ISTN).We efficiently utilize spectrum resources by allowing user equipment(UE)of terrestrial networks to share frequencies with satellite networks.In order to protect the satellite terminal(ST),the base station(BS)needs to control the transmit power and frequency resources of the UE.The optimization problem involves maximizing the achievable throughput while satisfying the interference protection constraints of the ST and the quality of service(QoS)of the UE.However,this problem is highly nonconvex,and we decompose it into power allocation and frequency resource scheduling subproblems.In the power allocation subproblem,we propose a power allocation algorithm based on interference probability(PAIP)to address channel uncertainty.We obtain the suboptimal power allocation solution through iterative optimization.In the frequency resource scheduling subproblem,we develop a heuristic algorithm to handle the non-convexity of the problem.The simulation results show that the combination of power allocation and frequency resource scheduling algorithms can improve spectrum utilization. 展开更多
关键词 integrated satellite and terrestrial network power allocation resource scheduling spectrum sharing
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Dynamic Collaborative Data Download in Heterogeneous Satellite Networks 认领 引用 被引量：1
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作者 Wu Qi Li Xintong Zhu Lidong 《China Communications》 SCIE EI CSCD 2025年第2期26-46,共21页
Low-earth-orbit(LEO)satellite network has become a critical component of the satelliteterrestrial integrated network(STIN)due to its superior signal quality and minimal communication latency.However,the highly dynamic... Low-earth-orbit(LEO)satellite network has become a critical component of the satelliteterrestrial integrated network(STIN)due to its superior signal quality and minimal communication latency.However,the highly dynamic nature of LEO satellites leads to limited and rapidly varying contact time between them and Earth stations(ESs),making it difficult to timely download massive communication and remote sensing data within the limited time window.To address this challenge in heterogeneous satellite networks with coexisting geostationary-earth-orbit(GEO)and LEO satellites,this paper proposes a dynamic collaborative inter-satellite data download strategy to optimize the long-term weighted energy consumption and data downloads within the constraints of on-board power,backlog stability and time-varying contact.Specifically,the Lyapunov optimization theory is applied to transform the long-term stochastic optimization problem,subject to time-varying contact time and on-board power constraints,into multiple deterministic single time slot problems,based on which online distributed algorithms are developed to enable each satellite to independently obtain the transmit power allocation and data processing decisions in closed-form.Finally,the simulation results demonstrate the superiority of the proposed scheme over benchmarks,e.g.,achieving asymptotic optimality of the weighted energy consumption and data downloads,while maintaining stability of the on-board backlog. 展开更多
关键词 backlog stability data download heterogeneous satellite networks Lyapunov optimization power allocation
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A Study for Inter-Satellite Cooperative Computation Offloading in LEO Satellite Networks 认领 引用 被引量：1
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作者 Gang Yuanshuo Zhang Yuexia +2 位作者 Wu Peng Zheng Hui Fan Guangteng 《China Communications》 SCIE EI CSCD 2025年第2期12-25,共14页
Low Earth orbit(LEO)satellite networks have the advantages of low transmission delay and low deployment cost,playing an important role in providing reliable services to ground users.This paper studies an efficient int... Low Earth orbit(LEO)satellite networks have the advantages of low transmission delay and low deployment cost,playing an important role in providing reliable services to ground users.This paper studies an efficient inter-satellite cooperative computation offloading(ICCO)algorithm for LEO satellite networks.Specifically,an ICCO system model is constructed,which considers using neighboring satellites in the LEO satellite networks to collaboratively process tasks generated by ground user terminals,effectively improving resource utilization efficiency.Additionally,the optimization objective of minimizing the system task computation offloading delay and energy consumption is established,which is decoupled into two sub-problems.In terms of computational resource allocation,the convexity of the problem is proved through theoretical derivation,and the Lagrange multiplier method is used to obtain the optimal solution of computational resources.To deal with the task offloading decision,a dynamic sticky binary particle swarm optimization algorithm is designed to obtain the offloading decision by iteration.Simulation results show that the ICCO algorithm can effectively reduce the delay and energy consumption. 展开更多
关键词 computation offloading inter-satellite co-operation LEO satellite networks
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Characterization and optimization of satellite complex networks based on hyperbolic space 认领 引用
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作者 Yuanzhi He Huajun Fu +3 位作者 Di Yan Shanshan Feng Hongbo Chen Xuebin Zhuang 《Digital Communications and Networks》 SCIE EI CSCD 2025年第6期1689-1706,共18页
In recent years,the rapid advancement of mega-constellations in Low Earth Orbit(LEO)has led to the emergence of satellite communication networks characterized by a complex interplay between high-and low-altitude orbit... In recent years,the rapid advancement of mega-constellations in Low Earth Orbit(LEO)has led to the emergence of satellite communication networks characterized by a complex interplay between high-and low-altitude orbits and by unprecedented scale.Traditional network-representation methodologies in Euclidean space are insufficient to capture the dynamics and evolution of high-dimensional complex networks.By contrast,hyperbolic space offers greater scalability and stronger representational capacity than Euclidean-space methods,thereby providing a more suitable framework for representing large-scale satellite communication networks.This paper aims to address the burgeoning demands of large-scale space-air-ground integrated satellite communication networks by providing a comprehensive review of representation-learning methods for large-scale complex networks and their application within hyperbolic space.First,we briefly introduce several equivalent models of hyperbolic space.Then,we summarize existing representation methods and applications for large-scale complex networks.Building on these advances,we propose representation methods for complex satellite communication networks in hyperbolic space and discuss potential application prospects.Finally,we highlight several pressing directions for future research. 展开更多
关键词 Hyperbolic space Complex network Network representation Satellite communication network
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Space-based self-organizing real-time wireless networks for satellite cluster 认领 引用
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作者 Lei YANG Huaguo YANG +1 位作者 Zhenglong YIN Quan CHEN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第8期419-432,共14页
The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions.However,achieving fast perception,rapid networking,and highprecision time synchronization among nod... The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions.However,achieving fast perception,rapid networking,and highprecision time synchronization among nodes without the support of the Global Navigation Satellite System(GNSS)and other prior information remains a formidable challenge to real-time wireless networks design.Therefore,a self-organizing network methodology based on multi-agent negotiation is proposed,which autonomously determines the master node through collaborative negotiation and competitive elections.On this basis,a real-time network protocol design is carried out and a high-precision time synchronization method with motion compensation is proposed.Simulation results demonstrate that the proposed method enables rapid networking with the capability of selfdiscovery,self-organization,and self-healing.For a cluster of 8 satellites,the networking time and the reorganization time are less than 4 s.The time synchronization accuracy exceeds 10-10s with motion compensation,demonstrating excellent real-time performance and stability.The research presented in this paper provides a valuable reference for the design and application of spacebased self-organizing networks for satellite cluster. 展开更多
关键词 Satellite Real time Self-organized network Time synchronization Motion compensation
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A two-stage scheduling algorithm based on pointer network with attention mechanism for micro-nano Earth observation satellite constellation 认领 引用
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作者 Hai LI Yuanhao LIU +5 位作者 Boyu DENG Yongjun LI Xin LI Yu LI Taijiang ZHANG Shanghong ZHAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第8期433-448,共16页
Micro-nano Earth Observation Satellite(MEOS)constellation has the advantages of low construction cost,short revisit cycle,and high functional density,which is considered a promising solution for serving rapidly growin... Micro-nano Earth Observation Satellite(MEOS)constellation has the advantages of low construction cost,short revisit cycle,and high functional density,which is considered a promising solution for serving rapidly growing observation demands.The observation Scheduling Problem in the MEOS constellation(MEOSSP)is a challenging issue due to the large number of satellites and tasks,as well as complex observation constraints.To address the large-scale and complicated MEOSSP,we develop a Two-Stage Scheduling Algorithm based on the Pointer Network with Attention mechanism(TSSA-PNA).In TSSA-PNA,the MEOS observation scheduling is decomposed into a task allocation stage and a single-MEOS scheduling stage.In the task allocation stage,an adaptive task allocation algorithm with four problem-specific allocation operators is proposed to reallocate the unscheduled tasks to new MEOSs.Regarding the single-MEOS scheduling stage,we design a pointer network based on the encoder-decoder architecture to learn the optimal singleMEOS scheduling solution and introduce the attention mechanism into the encoder to improve the learning efficiency.The Pointer Network with Attention mechanism(PNA)can generate the single-MEOS scheduling solution quickly in an end-to-end manner.These two decomposed stages are performed iteratively to search for the solution with high profit.A greedy local search algorithm is developed to improve the profits further.The performance of the PNA and TSSA-PNA on singleMEOS and multi-MEOS scheduling problems are evaluated in the experiments.The experimental results demonstrate that PNA can obtain the approximate solution for the single-MEOS scheduling problem in a short time.Besides,the TSSA-PNA can achieve higher observation profits than the existing scheduling algorithms within the acceptable computational time for the large-scale MEOS scheduling problem. 展开更多
关键词 Micro-nano earth observation satellite Observation scheduling Large-scale scheduling Two-stage optimization Pointer network Attention mechanism
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Resource Allocation for Emergency Communications in Distribution Network Satellite Communication System 认领 引用
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作者 Xie Haoran Zhan Yafeng Fang Xin 《China Communications》 SCIE EI CSCD 2025年第2期95-111,共17页
Frequent extreme disasters have led to frequent large-scale power outages in recent years.To quickly restore power,it is necessary to understand the damage information of the distribution network accurately.However,th... Frequent extreme disasters have led to frequent large-scale power outages in recent years.To quickly restore power,it is necessary to understand the damage information of the distribution network accurately.However,the public network communication system is easily damaged after disasters,causing the operation center to lose control of the distribution network.In this paper,we considered using satellites to transmit the distribution network data and focus on the resource scheduling problem of the satellite emergency communication system for the distribution network.Specifically,this paper first formulates the satellite beam-pointing problem and the accesschannel joint resource allocation problem.Then,this paper proposes the Priority-based Beam-pointing and Access-Channel joint optimization algorithm(PBAC),which uses convex optimization theory to solve the satellite beam pointing problem,and adopts the block coordinate descent method,Lagrangian dual method,and a greedy algorithm to solve the access-channel joint resource allocation problem,thereby obtaining the optimal resource scheduling scheme for the satellite network.Finally,this paper conducts comparative experiments with existing methods to verify the effec-tiveness of the proposed methods.The results show that the total weighted transmitted data of the proposed algorithm is increased by about 19.29∼26.29%compared with other algorithms. 展开更多
关键词 distribution network emergency communication resource scheduling satellite communication
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