6G移动通信技术展望

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

Abstract

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.

Key words: the sixth generation mobile communication system, human-machine-thing-genie, virtual world

CLC Number:

TN929.53

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.

Figures/Tables 2

References 54

[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.

Metrics

Recommended 0

No Suggested Reading articles found!

Technology prospect of 6G mobile communications

RichHTML

PDF

PDF (ENGLISH)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 2

References 54

Related Articles 10

Metrics

Recommended 0

[1]	Yanjing SUN, Fengzhi CHENG, Jiasi ZHOU, Song LI. Design of fairness-driven RSMA-SDMA precoding [J]. Journal on Communications, 2022, 43(4): 177-185.
[2]	Xuanli WU, Zhicong XU, Yuchen WANG, Yong LI. Performance analysis of physical layer security based on channel correlation [J]. Journal on Communications, 2021, 42(3): 65-74.
[3]	Zhefu WU,Xinyuan YANG,Wenchao ZHAI,Huimei HAN. Random access scheme for different MTC scenario requirement [J]. Journal on Communications, 2020, 41(11): 176-184.
[4]	Tingting LIU,Yi’nan LUO,Chenyang YANG. Distributed interference coordination based on multi-agent deep reinforcement learning [J]. Journal on Communications, 2020, 41(7): 38-48.
[5]	Jiazhi REN,Hui TIAN,Shaoshuai FAN,Yuanzhuo LIN,Gaofeng NIE,Jilong LI. UAV deployment and caching scheme based on user preference prediction [J]. Journal on Communications, 2020, 41(6): 1-13.
[6]	Guangyi LIU,Qixing WANG,Jianjun LIU,Fei WANG,Yi ZHENG. Latest progress on 3.5 GHz 5G NR trial [J]. Journal on Communications, 2019, 40(2): 24-30.
[7]	Xianzhong XIE,Ying LUO,Ke YAN,Jiujiu CHEN. Recent advances and future challenges of four key resources cooperation in cognitive radio network [J]. Journal on Communications, 2018, 39(2): 149-163.
[8]	Xian-zhong XIE,Dan LI,Wei-jia LEI,Sen-lin ZHANG. Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks [J]. Journal on Communications, 2017, 38(11): 1-12.
[9]	Zhi-cheng WANG,Zhi-gang CHEN,Lei WANG. Differential spatial modulation scheme based on orthogonal space-time block coded [J]. Journal on Communications, 2017, 38(9): 148-158.
[10]	Zheng-cang ZHU,Ji-hong ZHAO,Rui TANG,Hua QU,Lu-yao WANG,Zhao-xin CAO. Energy-efficient resource allocation scheme for device-to-device communication underlaying LTE-A uplink [J]. Journal on Communications, 2017, 38(2): 157-164.