Integrated satellite-terrestrial network(ISTN)has been considered a novel network architecture to achieve global three-dimensional coverage and ultra-wide area broadband access anytime and anywhere.Being a promising p...Integrated satellite-terrestrial network(ISTN)has been considered a novel network architecture to achieve global three-dimensional coverage and ultra-wide area broadband access anytime and anywhere.Being a promising paradigm,cloud computing and mobile edge computing(MEC)have been identified as key technology enablers for ISTN to further improve quality of service and business continuity.However,most of the existing ISTN studies based on cloud computing and MEC regard satellite networks as relay networks,ignoring the feasibility of directly deploying cloud computing nodes and edge computing nodes on satellites.In addition,most computing tasks are transferred to cloud servers or offloaded to nearby edge servers,the layered design of integrated satellite-air-terrestrial architecture and the cloud-edge-device cooperative processing problems have not been fully considered.Therefore,different from previous works,this paper proposed a novel satellite-air-terrestrial layered architecture for cloud-edge-device collaboration,named SATCECN.Then this paper analyzes the appropriate deployment locations of cloud servers and edge servers in ISTN,and describes the processing flow of typical satellite computing tasks.For computing resource allocation problems,this paper proposed a device-edge-cloud Multi-node Cross-layer Collaboration Computing(MCCC)method to find the optimal task allo-cation strategy that minimizes the task completion delay and the weighted system energy consumption.Furthermore,the approximate optimal solutions of the optimization model are obtained by using successive convex approxi-mation algorithm,and the outstanding advantages of the proposed method in reducing system energy consumption and task execution delay are verified through experiments.Finally,some potential issues and directions for future research are highlighted.展开更多
蜂窝移动通信有望进一步整合低轨卫星实现星地融合网络(Integrated Satellite-Terrestrial Networks,ISTNs),可以极大地扩展卫星和通信的覆盖范围,减少对地面基础设施的依赖以及重复建设,从而满足海上、空中、偏远地区等通信场景需求并...蜂窝移动通信有望进一步整合低轨卫星实现星地融合网络(Integrated Satellite-Terrestrial Networks,ISTNs),可以极大地扩展卫星和通信的覆盖范围,减少对地面基础设施的依赖以及重复建设,从而满足海上、空中、偏远地区等通信场景需求并完善密集建筑、室内、隧道等区域的定位功能。通信导航一体化(Integrated Communication and Navigation,ICAN)是星地融合的核心技术,从通信导航互相补充覆盖的角度将通导一体化分为通信覆盖增强和导航覆盖增强两个层面,基于此总结了一体化波形的研究进展,包括通导一体化波形设计、通导一体化信号处理技术以及通导一体化性能度量指标等。重点阐述了基于毫米波频段的研究,提出了通信覆盖增强的毫米波通导一体化系统,并展望了通导一体化未来发展和面临的挑战。展开更多
Nowadays both satellite and terrestrial networks are expanding rapidly to meet the ever-increasing demands for higher throughput,lower latency,and wider coverage.However,spectrum scarcity places obstacles in the susta...Nowadays both satellite and terrestrial networks are expanding rapidly to meet the ever-increasing demands for higher throughput,lower latency,and wider coverage.However,spectrum scarcity places obstacles in the sustainable development.To accommodate the expanding network within a limited spectrum,spectrum sharing is deemed as a promising candidate.Particularly,cognitive radio(CR)has been proposed in the literature to allow satellite and terrestrial networks to share their spectrum dynamically.However,the existing CR-based schemes are found to be impractical and inefficient because they neglect the difficulty in obtaining the accurate and timely environment perception in satellite communications and only focus on link-level coexistence with limited interoperability.In this paper,we propose an intelligent spectrum management framework based on software defined network(SDN)and artificial intelligence(AI).Specifically,SDN transforms the heterogenous satellite and terrestrial networks into an integrated satellite and terrestrial network(ISTN)with reconfigurability and interoperability.AI is further used to make predictive environment perception and to configure the network for optimal resource allocation.Briefly,the proposed framework provides a new paradigm to integrate and exploit the spectrum of satellite and terrestrial networks.展开更多
基金supported by the Academic Discipline,Post-Graduate Education Project of the Beijing Municipal Commission of Education,and Fundamental Research Funds for the Central Universities under Grant 2022YJS015the National Natural Science Foundation of China under Grant 62173026.
文摘Integrated satellite-terrestrial network(ISTN)has been considered a novel network architecture to achieve global three-dimensional coverage and ultra-wide area broadband access anytime and anywhere.Being a promising paradigm,cloud computing and mobile edge computing(MEC)have been identified as key technology enablers for ISTN to further improve quality of service and business continuity.However,most of the existing ISTN studies based on cloud computing and MEC regard satellite networks as relay networks,ignoring the feasibility of directly deploying cloud computing nodes and edge computing nodes on satellites.In addition,most computing tasks are transferred to cloud servers or offloaded to nearby edge servers,the layered design of integrated satellite-air-terrestrial architecture and the cloud-edge-device cooperative processing problems have not been fully considered.Therefore,different from previous works,this paper proposed a novel satellite-air-terrestrial layered architecture for cloud-edge-device collaboration,named SATCECN.Then this paper analyzes the appropriate deployment locations of cloud servers and edge servers in ISTN,and describes the processing flow of typical satellite computing tasks.For computing resource allocation problems,this paper proposed a device-edge-cloud Multi-node Cross-layer Collaboration Computing(MCCC)method to find the optimal task allo-cation strategy that minimizes the task completion delay and the weighted system energy consumption.Furthermore,the approximate optimal solutions of the optimization model are obtained by using successive convex approxi-mation algorithm,and the outstanding advantages of the proposed method in reducing system energy consumption and task execution delay are verified through experiments.Finally,some potential issues and directions for future research are highlighted.
文摘蜂窝移动通信有望进一步整合低轨卫星实现星地融合网络(Integrated Satellite-Terrestrial Networks,ISTNs),可以极大地扩展卫星和通信的覆盖范围,减少对地面基础设施的依赖以及重复建设,从而满足海上、空中、偏远地区等通信场景需求并完善密集建筑、室内、隧道等区域的定位功能。通信导航一体化(Integrated Communication and Navigation,ICAN)是星地融合的核心技术,从通信导航互相补充覆盖的角度将通导一体化分为通信覆盖增强和导航覆盖增强两个层面,基于此总结了一体化波形的研究进展,包括通导一体化波形设计、通导一体化信号处理技术以及通导一体化性能度量指标等。重点阐述了基于毫米波频段的研究,提出了通信覆盖增强的毫米波通导一体化系统,并展望了通导一体化未来发展和面临的挑战。
基金National Natural Science Foundation of China(61631005)National Natural Science Foundation of China(U1801261)+3 种基金National Natural Science Foundation of China(61571100)National Key R&D Program of China(2018YFB1801105)Central Universities(ZYGX2019Z022)Programme of Introducing Talents of Discipline to Universities(B20064)。
文摘Nowadays both satellite and terrestrial networks are expanding rapidly to meet the ever-increasing demands for higher throughput,lower latency,and wider coverage.However,spectrum scarcity places obstacles in the sustainable development.To accommodate the expanding network within a limited spectrum,spectrum sharing is deemed as a promising candidate.Particularly,cognitive radio(CR)has been proposed in the literature to allow satellite and terrestrial networks to share their spectrum dynamically.However,the existing CR-based schemes are found to be impractical and inefficient because they neglect the difficulty in obtaining the accurate and timely environment perception in satellite communications and only focus on link-level coexistence with limited interoperability.In this paper,we propose an intelligent spectrum management framework based on software defined network(SDN)and artificial intelligence(AI).Specifically,SDN transforms the heterogenous satellite and terrestrial networks into an integrated satellite and terrestrial network(ISTN)with reconfigurability and interoperability.AI is further used to make predictive environment perception and to configure the network for optimal resource allocation.Briefly,the proposed framework provides a new paradigm to integrate and exploit the spectrum of satellite and terrestrial networks.
