Toward 6G TK$\mu$ Extreme Connectivity: Architecture, Key Technologies and Experiments

Autor: You, Xiaohu, Huang, Yongming, Liu, Shengheng, Wang, Dongming, Ma, Junchao, Zhang, Chuan, Zhan, Hang, Zhang, Cheng, Zhang, Jiao, Li, Jin, Zhu, Min, You, Jianjie, Liu, Dongjie, He, Shiwen, He, Guanghui, Yang, Fengyi, Liu, Yang, Wu, Jianjun, Lu, Jianmin, Li, Ge, Chen, Xiaowu, Chen, Wenguang, Gao, Wen
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Comment: 8 pages, 4 figures, in peer review with IEEE Wireless Communications Magazine
Databáze: arXiv