通信学报 ›› 2019, Vol. 40 ›› Issue (1): 141-148.doi: 10.11959/j.issn.1000-436x.2019022
所属专题: 6G
张平1,牛凯1,田辉1,聂高峰1,秦晓琦1,戚琦1,张娇1
出版日期:
2019-01-25
发布日期:
2019-02-03
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。
基金资助:
Ping ZHANG1,Kai NIU1,Hui TIAN1,Gaofeng NIE1,Xiaoqi QIN1,Qi QI1,Jiao ZHANG1
Online:
2019-01-25
Published:
2019-02-03
Supported by:
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。
中图分类号:
张平, 牛凯, 田辉, 聂高峰, 秦晓琦, 戚琦, 张娇. 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, Gaofeng NIE, Xiaoqi QIN, Qi QI, Jiao ZHANG. Technology prospect of 6G mobile communications[J]. Journal on Communications, 2019, 40(1): 141-148.
[1] | 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. |
[2] | 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. |
[3] | 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. |
[4] | 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. |
[5] | 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. |
[6] | 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. |
[7] | 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. |
[8] | 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. |
[9] | 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. |
[10] | 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. | |
[11] | 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. | |
[12] | 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. |
[13] | GATHERER A , . What will 6G be?[C]// IEEE Communication Society Technology News, 2018: 1. |
[14] | 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. | |
[15] | BOSTROM N . Superintelligence:paths,dangers,strategies[M]. Oxford: Oxford University Press, 2014. |
[16] | HADDADIN S , JOHANNSMEIER L , LEDEZMA F D . Tactile robots as a central embodiment of the tactile internet[J]. Proceedings of the IEEE, 2018. |
[17] | SHANNON C E . A mathematical theory of communication[J]. The Bell System Technical Journal, 1948,27(3). |
[18] | 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. | |
[19] | 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. |
[20] | DE LUCA A , TERMINI S . Entropy of L-fuzzy sets[J]. Information and Control, 1974,24(1): 55-73. |
[21] | RAGHAVAN V , LI J . Evolution of physical-layer communications research in the post-5G era[J]. IEEE Access, 2019. |
[22] | 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. |
[23] | 3GPP. Multiplexing and channel coding:3GPP TS 38.212 V.15.1.0[S]. The 3rd Generation Partnership Project , 2018. |
[24] | 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. |
[25] | NIU K , CHEN K . CRC-aided decoding of polar codes[J]. IEEE Communications Letters, 2012,16(10): 1668-1671. |
[26] | CHEN K , NIU K , LIN J R . Improved successive cancellation decoding of polar codes[J]. IEEE Transactions on Communications, 2013,6(8): 3100-3107. |
[27] | 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. |
[28] | DAI J C , NIU K , LIN J R . Polar-coded MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2018,67(7): 6170-6184. |
[29] | 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. |
[30] | 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. |
[31] | 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. |
[32] | 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. |
[33] | 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. |
[34] | 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. |
[35] | 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. |
[36] | MECHTRI M , GHRIBI C , SOUALAH O ,et al. NFV orchestration framework addressing SFC challenges[J]. IEEE Communications Magazine, 2017,55(6): 16-23. |
[37] | 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. |
[38] | SHI W , CAO J , ZHANG Q ,et al. Edge computing:vision and challenges[J]. IEEE Internet of Things Journal, 2016,3(5): 637-646. |
[39] | SATYANARAYANAN M . The emergence of edge computing[J]. Computer, 2017,50(1): 30-39. |
[40] | SHI W , DUSTDAR S . The promise of edge computing[J]. Computer, 2016,49(5): 78-81. |
[41] | 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. |
[42] | 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. |
[43] | LI Y , ZHANG J G , ZHANG J G ,et al. Discriminative learning of latent features for zero-shot recognition[EB]. arXiv:1803.06731. |
[44] | CHEN L , LINGYS J , CHEN K ,et al. AuTO:scaling deep reinforcement learning for datacenter-scale automatic traffic optimization[C]// SIGCOMM, 2018. |
[45] | MAO H Z , NETRAVALI R. , ALIZADEH M . Neural adaptive video streaming with pensieve[C]// The Special Interest Group on Data Communication, 2017. |
[46] | 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. |
[47] | 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. |
[48] | 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. |
[49] | MOHANTY S , VYAS S . IT Operations and AI in:How to compete in the age of artificial intelligence[M]. Berkeley: Apress, 2018. |
[50] | 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. |
[51] | MAO H Z , NETRAVALI R. , ALIZADEH M . Neural adaptive video streaming with pensieve[C]// The Special Interest Group on Data Communication, 2017. |
[52] | DAI Y Y , LIU D , WU F . A convolutional neural network approach for post-processing in HEVC intra coding[C]// MultiMedia Modeling. 2017. |
[53] | 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. |
[54] | 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. |
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