Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the 6G networks are expected to achieve extreme connectivity performance with Tbps-scale data rate, Kbps/Hz-scale spectral efficiency, and $\mu$s-scale latency. To this end, an original three-layer 6G network architecture is designed to realise uniform full-spectrum cell-free radio access and provide task-centric agile proximate support for diverse applications. The designed architecture is featured by super edge node (SEN) which integrates connectivity, computing, AI, data, etc. On this basis, a technological framework of pervasive multi-level (PML) AI is established in the centralised unit to enable task-centric near-real-time resource allocation and network automation. We then introduce a radio access network (RAN) architecture of full spectrum uniform cell-free networks, which is among the most attractive RAN candidates for 6G TK$\mu$ extreme connectivity. A few most promising key technologies, i.e., cell-free massive MIMO, photonics-assisted Terahertz wireless access and spatiotemporal two-dimensional channel coding are further discussed. A testbed is implemented and extensive trials are conducted to evaluate innovative technologies and methodologies. The proposed 6G network architecture and technological framework demonstrate exciting potentials for full-service and full-scenario applications.
翻译:第六代(6G)网络正在向新的特点和系统性能衡量标准与目前的5G相比,系统性能衡量标准正在逐步发展到新的程度和程度的提高。特别是,6G网络预计将在Tbps尺度的数据率、Kbps/Hz尺度的光谱效率和美元/美元尺度的悬浮中实现极端的连接性能。为此目的,最初的三层6G网络结构的设计是为了实现统一的全频谱无细胞无线接入,并为各种应用提供以任务为中心的敏捷近距离支持。设计的结构以超级边缘节点(SEN)为特征,该节点整合了连接、计算、AI、数据等。在此基础上,在中央单位内建立了普遍多级别(PML)AI的技术框架,以便能够实现以任务为中心的近实时资源分配和网络自动化。然后,我们推出了一个全频谱统一无细胞网络的无线电访问网(RAN)架构,这是对6G TK$最有吸引力的候选人之一。 最有希望的关键节点、i.mexeral-ho-real-real-real-stal-comstal-chareal-real-tra ex-traal-tracal-ex-ex-exal-ex-ex-ex-ex-ex-comtraal-ex-comstal-comstal-ex-traal-chaal-chasteal-chastea ex-chasteal-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-ex-