物联网学报 ›› 2020, Vol. 4 ›› Issue (1): 92-103.doi: 10.11959/j.issn.2096-3750.2020.00151

所属专题: 6G

• 专题:物联网与6G • 上一篇    下一篇

6G蜂窝物联网的大规模接入技术

田飞燕,陈晓明,钟财军,张朝阳   

  1. 浙江大学信息与电子工程学院,浙江 杭州 310027
  • 修回日期:2020-02-16 出版日期:2020-03-30 发布日期:2020-03-28
  • 作者简介:田飞燕(1997- ),女,山西晋城人,浙江大学信息与电子工程学院信息与通信工程系在读博士生,主要研究方向为蜂窝物联网、大规模接入和稀疏信号处理等|陈晓明(1982- ),男,江苏苏州人,浙江大学信息与电子工程学院信息与通信工程系研究员、博士生导师,主要研究方向为5G/6G关键技术、物联网理论与技术和智能无线通信|钟财军(1982- ),男,浙江绍兴人,浙江大学信息与电子工程学院信息与通信工程系教授、博士生导师,主要研究方向为无线通信、通信信号处理以及人工智能在无线通信系统中的应用|张朝阳(1973- ),男,湖北黄冈人,浙江大学信息与电子工程学院信息与通信工程系教授、博士生导师,主要研究方向为新一代无线通信与智能网络、感知—通信—计算协同融合、网络信息论与新型编译码和分布式感知、学习与优化
  • 基金资助:
    国家重点研发计划资助项目(2018YFB1801104);国家自然科学基金资助项目(61725104);国家自然科学基金资助项目(61871344);国家自然科学基金资助项目(61922071)

Massive access technology in 6G cellular Internet of things network

Feiyan TIAN,Xiaoming CHEN,Caijun ZHONG,Zhaoyang ZHANG   

  1. College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China
  • Revised:2020-02-16 Online:2020-03-30 Published:2020-03-28
  • Supported by:
    National Key R&D Program of China(2018YFB1801104);Natural Science Foundation of China(61725104);Natural Science Foundation of China(61871344);Natural Science Foundation of China(61922071)

摘要:

为了实现万物互联,6G蜂窝物联网需要提供低功耗、巨连接和广覆盖的无线接入。通过对6G物联网中大规模接入技术的分析和研究,特别是结合物联网业务的偶发特性,设计了一个基于免授权随机接入协议的新型接入架构,以促进在有限频谱资源内实现高效的大规模接入。所提接入架构包括两个阶段,即联合激活检测与信道估计、数据传输。根据数据传输方向的不同,可以分为上行数据传输和下行数据传输两种方案。由于大规模免授权随机接入情况下基站获取的信道信息具有不确定性,同时考虑6G物联网设备的低功耗需求,因此,两种方案都以系统能量效率为优化目标,分别设计了稳健的接入算法。仿真结果证明了所提方案的有效性和稳健性。

关键词: 6G, 蜂窝物联网, 大规模接入, 能量效率, 低功耗, 巨连接, 广覆盖

Abstract:

To realize Internet of everything (IoE),the 6G cellular Internet of things (IoT) network need to provide wireless access with low power,massive connectivity and wide coverage.Through the analysis and research on the massive access technology in 6G cellular IoT network,especially in combination with the sporadic characteristics of IoT applications,a new access framework based on the grant-free random access protocol was designed to facilitate efficient massive access with limited spectrum resources.The proposed framework consisted of two phases.One was joint activity detection and channel estimation.The other was data transmission,which was divided into two categories,uplink data transmission and downlink data transmission,according to the different directions of data transmission.Due to the uncertainty of channel state information at the base station under the massive grant-free random access and considering the low power demand of 6G IoT devices,two robust uplink and downlink access algorithms were designed by maximizing the system energy efficiency.Extensive simulation results validate the effectiveness and robustness of the proposed algorithm.

Key words: 6G, cellular Internet of things, massive access, energy efficiency, low power, massive connectivity, wide coverage

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