【摘要】 下一代无线通信技术将通过支持智能交通、智能医疗、虚拟现实/增强等服务来提高用户的体验质量。这些新兴的服务通常都是计算密集型和时延敏感型的,必须满足严格的时延、能耗和可靠性要求,而基于云计算的服务难以满足这些要求。为了解决以上问题,提出移动边缘计算(Mobile Edge Computing,MEC)技术,解决将卸载请求回传到云计算中心所具有的高时延和高带宽消耗的问题。空天地一体化网络(Space-Air-Ground Integrated Network,SAGIN)作为6G的重要研究方向,可以弥补全球范围内的巨大覆盖缺口,受到广泛关注。通过将MEC技术、联邦学习技术和人工智能技术引入SAGIN,高效管理网络中海量、异构的资源,构建低时延、低能耗、高可靠性的SAGIN,以支持新兴的各种服务。更多还原

【Abstract】 The next generation of wireless communication technologies will enhance the quality of user experience by supporting services such as intelligent transportation,intelligent healthcare,virtual/augmented reality,and more.These emerging services are typically computation-intensive and delay-sensitive,and must meet stringent delay,energy consumption,and reliability requirements that cloud-based services struggle to meet.In order to solve the above problems,mobile edge computing(MEC) technology was proposed to solve the problems of high latency and high bandwidth consumption when sending offloading requests back to the cloud computing centers.As an important research direction of 6G,space-air-ground integrated network(SAGIN) could make up for the huge coverage gap in the world,and had been widely concerned.This paper introduced MEC technology,federated learning technology and artificial intelligence technology into SAGIN to efficiently manage massive and heterogeneous resources in the network,and builded low-delay,low-energy consumption and high-reliability SAGIN to support various emerging services.更多还原