共查询到20条相似文献,搜索用时 187 毫秒
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为了适应第六代移动通信(6G)技术在卫星通信领域的发展需求,亟需将感知、通信、计算(通感算)融合一体化,兼顾6G通信对于极低时延、极高带宽、极低功耗和极高算力的要求,发展通感算融合理论和关键技术。卫星通信凭借其覆盖面积大、成本低和算力强的特点,成为6G通感算融合的关键场景,其通过边缘计算、联邦学习等技术构建6G通感算融合网络,设计实现一体化终端功能结构,从而有效提升系统性能。目前面向卫星通信中的通感算融合研究还处于起步阶段,架构与关键技术的相关研究都在加速进行中。基于此,首先对6G通感算背景和研究现状进行介绍;然后提出面向卫星通信的6G通感算架构,概述其系统功能模块构成和关键技术;接着提出基于联邦学习的卫星通感算融合架构,并详细阐述架构组成和性能指标;最后探讨了面向卫星通信的6G通感算融合面临的挑战和未来的发展趋势。 相似文献
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赵亚飞周家恩王鑫洋孙耀华彭木根 《无线电通信技术》2023,(5):834-841
天地一体化无线网络是网络强国的重要标志,是信息时代的战略性基础设施。通过天地一体化无线网络,将以地面信息网络为主的网络边界,扩张到太空、空中、海洋等自然空间。雾计算(Fog Computing)技术是天地一体化无线网络的重要技术之一,可满足6G原生人工智能(AI)、通感算一体化、泛在连接、原生可信等需求。相比云计算技术,雾计算采用分布式计算模型,将计算和数据处理能力从云端扩展到边缘,提供低时延、高可靠、高灵活性的服务。卫星通信凭借广覆盖、强算力、高带宽、低成本等特点成为6G的关键要素,卫星高移动性、分布式算力的特点深度契合雾计算技术特征。介绍了6G雾计算当前国内外研究背景及现状,提出面向卫星通信的6G雾计算架构,探讨其未来发展前景和趋势。卫星雾计算通信网络通过与地面网络优势互补、互相耦合,能够提供更大规模的覆盖面积、支持更多样化的业务服务,实现更智能化的网络管理,在应急通信保障、赋能AI卫星网络、赋能算力网络、手机直连卫星等方面发挥重要作用。 相似文献
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<正>因采用了微服务架构的互联网云化技术而5G广为人知,6G网络也将和智能互联网紧密联系。因为当前的6G和AI之间存在的结盟关系,在大部分的情形下AI都能够分别用在保护或者是侵犯安全性和隐私权方面。本文分析了人工智能对于6G安全方面的影响,并剖析在6G网络中由于AI所导致安全方面可能出现的挑战,并提供解决办法。从2019年的5G元年启动5G建设至今,已有超过七十几万座的5G基站得到大规模商用,而基于5G建设的基础上,世界各地也已经开始了6G技术的探索研究。未来互联网的端到端智能化,要求其具备自主发现威胁、智能缓解技术以及自主保护技术。所以,通过AI技术进行安全性设计, 相似文献
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5G非地面网络(non-terrestrial network,NTN)技术是5G通信系统面向卫星通信和低空通信等新应用场景的重要技术,标志着5G技术应用从陆地通信走向了空间通信。首先分析了5G NTN和地面5G的差异点,包括网络架构、时频同步、HARQ和移动性管理等。进而介绍了3GPP Release 17的5G NTN标准进展及关键技术点与3GPP Release 18的5G NTN增强技术。最后展望了未来空、天、地一体化的技术演进。通过对5G NTN技术研究和标准分析,明确了5G和卫星通信融合的技术路线,并为后续6G空、天、地融合系统研究和设计提供基础。 相似文献
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The application of the artificial intelligence(AI) technology in the 5 th generation mobile communication system(5 G) networks promotes the development of the mobile communication network and its application in vertical industries, however, the application models of “patching” and “plug-in” have hindered the effect of AI applications. Meanwhile, the application of AI in all walks of life puts forward requirements for new capabilities of the future network, such as distributed training, real-time... 相似文献
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How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks. 相似文献
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移动通信技术走过了37年的发展历程,人工智能技术也已走过了64年的发展历程。从早期的各自独立演进,到5G与人工智能开始深度融合发展,"5G与人工智能"已被业界视为一组最新的通用目的技术组合,对垂直行业的发展起到提振生产力与赋能的作用。首先介绍了早期移动通信和人工智能各自的发展路线,并重点回顾了人工智能与通信技术在3G到5G阶段开始融合发展。针对通信人工智能,详细阐述了当前人工智能技术在移动通信生态系统中各领域的发展情况,包括通信网络基础设施、网络管理与运营、电信业务管理、跨领域融合智能化、垂直行业与专网等,并总结了通信国际标准组织对人工智能技术在移动通信系统中的分级定义与演进路线。面向下一个十年,展望了通信人工智能未来的发展路线与演进趋势,并结合3GPP与ITU-R的5G/6G时间表,前瞻性探索了基于3GPP和O-RAN路线的网络智能化、基于体验感知与意图的网络管理与运营系统的发展、网络AI信令体系、面向智慧中台演进的电信业务与支撑体系、跨领域融合的智能化体验管理与策略管理、从SLA向ELA的演进以及面向垂直行业的智能专网等。最后建议行业达成共识,在下一个十年中全面加速推进人工智能在通... 相似文献
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C. Cullen X. Benedicto R. Tafazolli B. Evans 《International Journal of Satellite Communications and Networking》1994,12(1):125-134
This paper discusses networking issues associated with the provision of L/S-band personal satellite communications. Both the UMTS and IMT-2000 third generation mobile communication concepts have identified the need for a satellite component as part of their overall structure. The work is mostly based on the ESA-developed medium altitude global satellite system (MAGSS-14).1 It is, therefore, mainly relevant to MEO (medium earth orbit) constellations but most ideas can also be extended to LEO (low earth orbit) constellations. After examining user and service requirements the specific networking issues associated with personal satellite communications are reviewed. A network architecture is then proposed which takes these restrictions into account. Based on this network architecture, network signalling requirements, more specifically those relevant to network common control channels, are estimated. 相似文献
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Channasandra Ravishankar Rajeev Gopal Nassir BenAmmar Gaguk Zakaria Xiaoling Huang 《International Journal of Satellite Communications and Networking》2021,39(1):6-28
Mega satellite constellations in low earth orbit (LEO) will provide complete global coverage; rapidly enhance overall capacity, even for unserved areas; and improve the quality of service (QoS) possible with lower signal propagation delays. Complemented by medium earth orbit (MEO) and geostationary earth orbit (GEO) satellites and terrestrial network components under a hybrid communications architecture, these constellations will enable universal 5G service across the world while supporting diverse 5G use cases. With an unobstructed line‐of‐sight visibility of approximately 3 min, a typical LEO satellite requires efficient user terminal (UT), satellite, gateway, and intersatellite link handovers. A comprehensive mobility design for mega‐constellations involves cost‐effective space and ground phased‐array antennas for responsive and seamless tracking. An end‐to‐end multilayer protocol architecture spanning space and terrestrial technologies can be used to analyze and ensure QoS and mobility. A scalable routing and traffic engineering design based on software‐defined networking adequately handles continuous variability in network topology, differentiated user demands, and traffic transport in both temporal and spatial dimensions. The space‐based networks involving mega‐constellations will be better integrated with their terrestrial counterparts by fully leveraging the multilayer 5G framework, which is the foundational feature of our hybrid architecture. 相似文献