6G移动通信技术展望

张平; 牛凯; 田辉; 聂高峰; 秦晓琦; 戚琦; 张娇

doi:10.11959/j.issn.1000-436x.2019022

您当前的位置：

首页 >

文章列表页 >

6G移动通信技术展望

综述 | 更新时间：2024-06-05

- 6G移动通信技术展望
- Technology prospect of 6G mobile communications
- 通信学报 2019年40卷第1期页码：141-148
- 作者机构：
  
  1. 北京邮电大学信息与通信工程学院，北京 100876
  2. 北京邮电大学网络技术研究院，北京 100876
- 作者简介：
  
  [ "张平（1959- ），男，陕西汉中人，博士，北京邮电大学教授、博士生导师，主要研究方向为先进移动通信系统。" ]
  [ "牛凯（1976- ），男，山西文水人，博士，北京邮电大学教授，主要研究方向为信息论与信道编码、智能信号处理。" ]
  [ "田辉（1963- ），女，河南郑州人，博士，北京邮电大学教授、博士生导师，主要研究方向为无线资源管理、智能边缘计算、移动社交网络。" ]
  [ "聂高峰（1988- ）男，河南周口人，博士，北京邮电大学讲师，主要研究方向为超密集网络无线资源管理、移动通信关键技术。" ]
  [ "秦晓琦（1988- ），女，北京人，博士，北京邮电大学讲师，主要研究方向为下一代无线网络基础理论及性能分析、智能化物联网中基于信息价值的通信、计算资源优化策略与算法设计。" ]
  [ "戚琦（1982- ），女，河北廊坊人，博士，北京邮电大学副教授，主要研究方向为智能边缘计算、业务网络智能化、网络资源优化。" ]
  [ "张娇（1986- ），女，河北保定人，博士，北京邮电大学副教授，主要研究方向为云数据中心网络、网络功能虚拟化、软件定义网络、未来网络体系架构。" ]
- 基金信息：
  
  国家自然科学基金创新研究群体基金资助项目(61421061)
- DOI：10.11959/j.issn.1000-436x.2019022
  中图分类号： TN929.53
- 网络出版日期：2019-01，
  
  纸质出版日期：2019-01-25
- 稿件说明：
移动端阅览
张平, 牛凯, 田辉, 等. 6G移动通信技术展望[J]. 通信学报, 2019,40(1):141-148.

Ping ZHANG, Kai NIU, Hui TIAN, et al. Technology prospect of 6G mobile communications[J]. Journal on communications, 2019, 40(1): 141-148.
张平, 牛凯, 田辉, 等. 6G移动通信技术展望[J]. 通信学报, 2019,40(1):141-148. DOI： 10.11959/j.issn.1000-436x.2019022.

Ping ZHANG, Kai NIU, Hui TIAN, et al. Technology prospect of 6G mobile communications[J]. Journal on communications, 2019, 40(1): 141-148. DOI： 10.11959/j.issn.1000-436x.2019022.

摘要

为满足人类更深层次的智能通信需求，6G将实现从真实世界到虚拟世界的延拓。为此提出了6G需要解决“人-机-物-灵”的问题，设计了6G演进的双世界架构，该架构将支持6G中存在于虚拟世界的第四元素——灵。进一步给出和分析了支撑6G设计与实现的关键理论与技术。

Abstract

To achieve a deeper level of intelligent communication for human beings

the sixth generation mobile communication system (6G) will realize the extension from the real world to the virtual world.To this end

the “human-machine-thing-genie” problem introduced by 6G was presented

and an evolved dual-world architecture for 6G was proposed.The architecture includes the fourth elements of 6G

genie

in the virtual world.The potential key theories and technologies to support the design and implementation of 6G were proposed and analyzed.

关键词

Keywords

references

ZHANG P , TAO X F , ZHANG J H , et al . A vision from the future:beyond 3G TDD [J ] . IEEE Communications Magazine , 2005 , 43 ( 1 ): 38 - 44 .

LIU G G , ZHANG J H , ZHANG P , et al . Evolution map from TD-SCDMA to FuTURE B3G TDD [J ] . IEEE Communications Magazine , 2006 , 44 ( 3 ): 54 - 61 .

QIN C , NI W , TIAN H , et al . Radio over cloud (RoC):cloud-assisted distributed beamforming for multi-class traffic [J ] . IEEE Transactions on Mobile Computing , 2018 : 1 .

NIE G F , TIAN H , SENGUL C , et al . Forward and backhaul link optimization for energy efficient OFDMA small cell networks [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 2 ): 1080 - 1093 .

FAN B , TIAN H , JIANG L , et al . A social-aware virtual MAC protocol for energy-efficient D2D communications underlying heterogeneous cellular networks [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 9 ): 8372 - 8385 .

SHAFI M , MOLISCH A F , SMITH P J , et al . 5G:a tutorial overview of standards,trials,challenges,deployment,and practice [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 6 ): 1201 - 1221 .

LYU X C , TIAN H , JIANG L , et al . Selective offloading in mobile edge computing for the green internet of things [J ] . IEEE Network , 2018 , 32 ( 1 ): 54 - 60 .

LIU D T , WANG L F , CHEN Y , et al . User association in 5G networks:a survey and an outlook [J ] . IEEE Communications Surveys ＆ Tutorials , 2016 , 18 ( 2 ): 1018 - 1044 .

LYU X C , NI W , TIAN H , et al . Optimal schedule of mobile edge computing for internet of things using partial information [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 11 ): 2606 - 2615 .

张平 , 陶运铮 , 张治 . 5G 若干关键技术评述 [J ] . 通信学报 , 2016 , 37 ( 7 ): 15 - 29 .

ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G [J ] . Journal on Communications , 2016 , 37 ( 7 ): 15 - 29 .

田辉 , 范绍帅 , 吕昕晨 , 等 . 面向5G 需求的移动边缘计算 [J ] . 北京邮电大学学报 , 2017 ( 2 ): 5 - 14 .

TIAN H , FAN S S , LYU X C , et al . Mobile edge computing for 5G requirements [J ] . Journal of Beijing University of Posts and Telecom-munications , 2017 ( 2 ): 5 - 14 .

DAVID K. , BERNDT H . 6G vision and requirements:is there any need for beyond 5G? [J ] . IEEE Vehicular Technology Magazine , 2018 , 13 ( 3 ): 72 - 78 .

GATHERER A , . What will 6G be? [C ] // IEEE Communication Society Technology News , 2018 : 1 .

尤瓦尔•赫拉利 . 未来简史 [M ] . 林俊宏 ,译. 北京 : 中信出版集团 , 2017 : 307 .

DEUS H . A brief history of tomorrow [M ] . Lin Junhong,Translation . Beijing : CITIC Group press , 2017 : 307 .

BOSTROM N . Superintelligence:paths,dangers,strategies [M ] . Oxford : Oxford University Press , 2014 .

HADDADIN S , JOHANNSMEIER L , LEDEZMA F D . Tactile robots as a central embodiment of the tactile internet [J ] . Proceedings of the IEEE , 2018 .

SHANNON C E . A mathematical theory of communication [J ] . The Bell System Technical Journal , 1948 , 27 ( 3 ).

吴伟陵 . 广义信息源与广义熵 [J ] . 北京邮电大学学报 , 1982 ,( 1 ): 29 - 41 .

WU W L . General information source and general information entropy [J ] . Journal of Beijing University of Posts and Telecommunications , 1982 , 1 : 29 - 41 .

DE LUCA A , TERMINI S . A definition of a non-probabilistic entropy in the setting of fuzzy sets [J ] . Information and Control , 1972 , 20 ( 4 ): 301 - 312 .

DE LUCA A , TERMINI S . Entropy of L-fuzzy sets [J ] . Information and Control , 1974 , 24 ( 1 ): 55 - 73 .

RAGHAVAN V , LI J . Evolution of physical-layer communications research in the post-5G era [J ] . IEEE Access , 2019 .

ARIKAN E . Channel polarization:a method for constructing capacity-achieving codes for symmetric binary-input memoryless channels [J ] . IEEE Transactions on Information Theory , 2009 , 55 ( 7 ): 3051 - 3073 .

3GPP . Multiplexing and channel coding:3GPP TS 38.212 V.15.1.0 [S ] . The 3rd Generation Partnership Project , 2018 .

NIU K , CHEN K , LIN J R , et al . Polar codes:primary concepts and practical decoding algorithms [J ] . IEEE Communications Magazine , 2014 , 55 ( 7 ): 192 - 203 .

NIU K , CHEN K . CRC-aided decoding of polar codes [J ] . IEEE Communications Letters , 2012 , 16 ( 10 ): 1668 - 1671 .

CHEN K , NIU K , LIN J R . Improved successive cancellation decoding of polar codes [J ] . IEEE Transactions on Communications , 2013 , 6 ( 8 ): 3100 - 3107 .

CHEN K , NIU K , LIN J R . An efficient design of bit-interleaved polar coded modulation [C ] // IEEE Personal Indoor and Mobile Radio Communications , 2013 .

DAI J C , NIU K , LIN J R . Polar-coded MIMO systems [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 7 ): 6170 - 6184 .

LIU Y W , QIN Z J , ELKASHLAN M. , et al . Nonorthogonal multiple access for 5G and beyond [J ] . Proceedings of the IEEE , 2017 , 105 ( 12 ): 2347 - 2381 .

DAI J C , NIU K , SI Z W , et al . Polar-coded non-orthogonal multiple access [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 5 ): 1374 - 1389 .

YANG S , HANZO L . Fifty years of MIMO detection:the road to large-scale MIMOs [J ] . IEEE Communications Surveys ＆ Tutorials , 2015 , 17 ( 4 ): 1941 - 1988 .

LARSSON E G , EDFORS O , TUFVESSON F. , et al . Massive MIMO for next generation wireless systems [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 186 - 195 .

WANG T , WEN C K , WANG H , et al . Deep learning for wireless physical layer:Opportunities and challenges [J ] . China Communications , 2017 , 14 ( 11 ): 92 - 111 .

O'SHEA T , HOYDIS J . An introduction to deep learning for the physical layer [J ] . IEEE Transactions on Cognitive Communications and Networking , 2017 , 3 ( 4 ): 563 - 575 .

VILALTA R , MAYORAL A , PUBILL D , et al . End-to-end SDN Orchestration of IoT services using an SDN/NFV-enabled edge node [C ] // Optical Fiber Communication Conference ＆ Exhibition . 2016 .

MECHTRI M , GHRIBI C , SOUALAH O , et al . NFV orchestration framework addressing SFC challenges [J ] . IEEE Communications Magazine , 2017 , 55 ( 6 ): 16 - 23 .

LYU X C , REN C S , NI W , et al . Multi-timescale decentralized online orchestration of software-defined network [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 12 ): 2716 - 2730 .

SHI W , CAO J , ZHANG Q , et al . Edge computing:vision and challenges [J ] . IEEE Internet of Things Journal , 2016 , 3 ( 5 ): 637 - 646 .

SATYANARAYANAN M . The emergence of edge computing [J ] . Computer , 2017 , 50 ( 1 ): 30 - 39 .

SHI W , DUSTDAR S . The promise of edge computing [J ] . Computer , 2016 , 49 ( 5 ): 78 - 81 .

CHEN J K , QIU X P , LIU P F , et al . Meta multi-task learning for sequence modeling [C ] // The Advancement of Artificial Intelligence , 2018 : 5070 - 5077 .

LI D , YANG Y X , SONG Y Z , et al . Learning to generalize:meta-learning for domain generalization [C ] // The Advancement of Artificial Intelligence , 2018 : 3490 - 3497 .

LI Y , ZHANG J G , ZHANG J G , et al . Discriminative learning of latent features for zero-shot recognition [EB ] . arXiv:1803.06731 .

CHEN L , LINGYS J , CHEN K , et al . AuTO:scaling deep reinforcement learning for datacenter-scale automatic traffic optimization [C ] // SIGCOMM , 2018 .

MAO H Z , NETRAVALI R. , ALIZADEH M . Neural adaptive video streaming with pensieve [C ] // The Special Interest Group on Data Communication , 2017 .

KATO N , FADLULLAH Z M , MAO B M , et al . The deep learning vision for heterogeneous network traffic control:Proposal,challenges,and future perspective [J ] . IEEE wireless communications , 2017 , 24 ( 3 ): 146 - 153 .

WANG M W , CUI Y , WANG X , et al . Machine learning for networking:Workflow,advances and opportunities [J ] . IEEE Network , 2018 , 32 ( 2 ): 92 - 99 .

GOODALL J R , RAGAN E D , STEED C A , et al . Situ:identifying and explaining suspicious behavior in networks [J ] . IEEE transactions on visualization and computer graphics , 2019 , 25 ( 1 ): 204 - 214 .

MOHANTY S , VYAS S . IT Operations and AI in:How to compete in the age of artificial intelligence [M ] . Berkeley : Apress , 2018 .

FOULADI S , EMMONS J , ORBAY E , et al . Salsify:low-latency network video through tighter integration between a video codec and a transport protocol [C ] // Networked Systems Design and Implementation , 2018 .

MAO H Z , NETRAVALI R. , ALIZADEH M . Neural adaptive video streaming with pensieve [C ] // The Special Interest Group on Data Communication , 2017 .

DAI Y Y , LIU D , WU F . A convolutional neural network approach for post-processing in HEVC intra coding [C ] // MultiMedia Modeling . 2017 .

TODERICI G , VINCENT D , JOHNSTON N , et al . Full resolution image compression with recurrent neural networks [C ] // 2017 IEEE Conference on Computer Vision and Pattern Recognition . 2017 : 5435 - 5443 .

YAN N , LIU D , LI H Q , et al . A convolutional neural network approach for half-pel interpolation in video coding [C ] // IEEE International Symposium on Circuits and Systems . 2017 : 1 - 4 .

浏览量

4028

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据