Publications & White Papers & Research Reports

White Papers

Proposal of 6GNetGPT.pdf

6GNetGPT倡议书.pdf

6GANA-Network-AI-White-Paper-2021-05-31.pdf

1 6G Network AI Concept and Terminology.pdf

2 6G Network Native AI Technical Requirement White Paper.pdf

3 Ten Questions of 6G Native AI Network Architecture.pdf

4 6G Data Service - Concept and Requirements.pdf

5 Data Acquisition and Analysis of B5G6G Network Intelligence.pdf

6 Knowledge-Defined Orchestration and Management.pdf

1《6G网络AI概念术语白皮书》.pdf

2《6G网络原生AI技术需求白皮书》.pdf

3《6G网络内生AI网络架构十问》.pdf

4《6G数据服务概念与需求白皮书》.pdf

5《B5G6G网络智能数据采析》.pdf

6《6G知识定义的编排与管控白皮书》.pdf

《6G网络分布式学习白皮书》.pdf

TG1-1 《6G网络AI场景用例业务应用需求详解白皮书》.pdf

TG1-2 《6G AIaaS需求白皮书》.pdf

TG2-1 《6GANA面向任务的智慧内生RAN架构白皮书》.pdf

TG2-2 《面向多智体协作的基础流程研究报告》.pdf

TG2-3 《QoAIS指标体系研究报告》.pdf

TG2-4 《以用户为中心的友好网络架构白皮书》.pdf

TG3-1 《无线网络数据辞典白皮书共享版》.pdf

TG3-2 《6G AI数据服务框架与使能技术》.pdf

TG4 《6G网络分布式学习白皮书》.pdf

《网络大模型十大问题白皮书》.pdf

《网络管控大模型白皮书》.pdf

《Whitepaper on Distributed Learning of 6G》.pdf


Books

[1] Wen Tong, Peiying Zhu. 6G:The Next Horizon.(https://www.vitalsource.com/en-ca/products/6g-the-next-horizon-v9781108997287)

[2] 童文,等.无线通信新征程.北京:机械工业出版社,2021.

[3] 刘光毅,等. 6G:重塑世界.北京:人民邮电出版社,2021.

[4] 张平,等. 6G需求与愿景.北京:中国工信出版集团,2021.

Papers

[01] Shao, Y., Li, R., Hu, B., Wu, Y., Zhao, Z., & Zhang, H. Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Net-work.

[02] Xiongyan Tang, Chang Cao. Computing Power Network: The Architecture of Convergence of Computing and Networking towards 6G Requirement

[03] Guangyi Liu, Na Li,JuanDeng, Yingying Wang, Junshuai Sun, Yuhong Huang. 6G Mobile Network Architecture-SOLIDS: Driving Forces, Features, and Functional Topology. 

[04] Jiaheng Wang, Xintong Ling, Yuwei Le, Yongming Huang, Xiaohu You, Blockchain-enabled wireless communications: a new paradigm towards 6G.

[05] B. He, J. Wang, Q. Qi, H. Sun and J. Liao, "RTHop: Real-Time Hop-by-hop Mobile Network Routing by Decentralized Learning with Semantic Attention,".

[06] Yuan, Yifei et al. “NOMA for Next-Generation Massive IoT: Performance Potential and Technology Directions.”

[07] Yang, Yang et al. “6G Network AI Architecture for Everyone-Centric Customized Services.” ArXiv abs/2205.09944 (2022): n. pag.

[08] 曹畅 基于通信云和承载网协同的算力网络编排技术_

[09] 曹畅 算力网络关键技术及发展挑战分析_

[10] 何涛 面向6G需求的算力网络技术

[11] 程强, 戴俊彦, 柯俊臣, 梁竟程, 王思然. 智能超表面在波束及信息调控中的应用. 

[11] 刘光毅,金婧,王启星等.6G愿景与需求:数字孪生、智能泛在.

[12] 魏克军,赵洋,徐晓燕.6G愿景及潜在关键技术分析.

[13] 谢莎,李浩然,李玲香,陈智,李少谦.面向6G网络的太赫兹通信技术研究综述.

[14] 周儒雅,唐万恺,李潇,金石.基于可重构智能表面的移动通信简要综述.

[15] 刘超,陆璐,王硕,胡玉双.面向空天地一体多接入的融合6G网络架构展望.

[16] 何涛,曹畅,唐雄燕,李铭轩,李建飞.面向6G需求的算力网络技术.

[17]乔秀全,黄亚坤.面向6G的去中心化的人工智能理论与技术.


Research Reports