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Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

Science China(Information Sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU yang yang Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin (Sherman) SHEN yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua yang Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS ying-Chang LIANG national mobile communications research laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University research Center for Network communication Peng Cheng Laboratory State Key laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications national Engineering laboratory for mobile Network Technologies Beijing University of Posts and Telecommunications national Key laboratory of Science and Technology on communications University of Electronic Science and Technology of China (UESTC) China mobile research Institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton university Vodafone Chair mobile communications Systems Technische Universit?t Dresden Center for Intelligent Networking and communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security

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Dynamics and manipulation of ferroelectric domain walls in bismuth ferrite thin films

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national Science Review 2020年第2期7卷 278-284页

作者： Shuyu Xiao Yaming Jin Xiaomei Lu Sang-Wook Cheong Jiangyu Li yang Li Fengzhen Huang Jinsong Zhu national laboratory of Solid State Microstructures and Physics School Nanjing University Collaborative Innovation Center of Advanced Microstructures Nanjing University Rutgers Center for Emergent Materials and Department of Physics and Astronomy Rutgers University Shenzhen Key laboratory of Nanobiomechanics Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Department of Mechanical Engineering University of Washington

Ferroelectric domain walls differ from domains not only in their crystalline and discrete symmetry, but also in their electronic, magnetic, and mechanical properties. Although domain walls provide a degree of freedom to regulate the physical properties at the nanoscale, the relatively lower controllability prevents their practical applications in nano-devices. In this work, with the advantages of 3D domain configuration detection based on piezoresponse force microscopy, we find that the mobility of three types of domain walls(tail-to-tail, head-to-tail, head-to-head) in(001) BiFeO3films varies with the applied electrical field. Under low voltages, head-to-tail domain walls are more mobile than other domain walls, while, under high voltages, tail-to-tail domain walls become rather active and possess relatively long average lengths. This is due to the high nucleation energy and relatively low growth energy for charged domain walls. Finally, we demonstrate the manipulation of domain walls through successive electric writings, resulting in well-aligned conduction paths as designed, paving the way for their application in advanced spintronic, memory and communication nano-devices.

关键词： domain wall ferroelectric thin film piezoresponse force microscopy dynamics

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A WIRELESS MULTIMEDIA TRANSMISSION CONTROL AlGORITHM OVER HETEROGENEOUS IP NETWORKS

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Journal of Electronics(China) 2010年第1期27卷 29-36页

作者： Zhao Haitao Dong Yuning Zhang Hui Li yang College of communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China national mobile communications research laboratory Southeast University Nanjing 210096 China

In this paper,an algorithm Wireless Multimedia Transmission Control(WMTC) is proposed for multimedia transmission control over wired-wireless *** relationship between packet length and packet loss rate in the Gilbert wireless error model is ***,the algorithm can detect the nature of packet losses by sending large and small packets alternately,and control the sending rate of *** addition,by means of updating factor K,this algorithm can adapt to the changes of network states *** with previous algorithms,simulation results show that WMTC can both improve the networks throughput of multimedia transmissions and reduce the congestion loss rate in various situations.

关键词： Wireless IP networks Quality of Service(QoS) Congestion control Random loss

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AN ADAPTIVE OPPORTUNISTIC RETRANSMISSION CONTROL SCHEME ENVIRONMENT-AWARE-BASED FOR WIRELESS MULTIMEDIA MESH NETWORKS

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Journal of Electronics(China) 2010年第6期27卷 756-764页

作者： Zhao Haitao Dong Yuning Zhang Hui Li yang College of communication and Information Engineemng Nanjing University of Posts and Telecommunicaions Nanjmg 210003 China national mobile communications research laboratory Southeast University Nanjin9 210096 China

In this paper, we propose an aware-based adaptive opportunistic retransmission control scheme for wireless multimedia Mesh networks. The proposed scheme provides maximum retransmis-sion count optimization based on environment-aware to improve packet relay probability. The scheme discriminates the types of packet loss in wireless link by means of environment information and selects the retransmission count by taking the IEEE 802.11 wireless channel characteristics into consideration. Furthermore, the maximum retransmission count of MAC is adjusted adaptively. Extensive simulations demonstrate that the proposed scheme significantly reduces packet collision probability and packet loss rate, and thus improves network throughput.

关键词： Wireless Mesh Networks (WMNs) Media Access Control (MAC) Retransmission control Environment-aware

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AI Enlightens Wireless communication: Analyses and Solutions for DMRS Channel Estimation

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China communications 2023年第5期20卷 275-287页

作者： Bule Sun Zhiqin Wang Ang yang Xiaofeng Liu Shi Jin Peng Sun Rakesh Tamrakar Dajie Jiang Vivo mobile communication Co. Ltd.Beijing 100015China China Academy of Information and communications Technology Beijing 100191China national mobile communications research laboratory Southeast UniversityNanjing 211189China

In this paper,a systematic description of the artificial intelligence(AI)-based channel estimation track of the 2nd Wireless communication AI Competition(WAIC)is provided,which is hosted by IMT-2020(5G)Promotion Group 5G+AIWork ***,the system model of demodulation reference signal(DMRS)based channel estimation problem and its corresponding dataset are *** the potential approaches for enhancing the performance of AI based channel estimation are discussed from the viewpoints of data analysis,pre-processing,key components and backbone network *** last,the final competition results composed of different solutions are *** is expected that the AI-based channel estimation track of the 2nd WAIC could provide insightful guidance for both the academia and industry.

关键词： MIMO DMRS channel estimation AI data analysis preprocessing model design

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社交网络机器账号检测综述

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中国电子科学研究院学报 2021年第3期16卷 209-219页

作者：李阳阳曹银浩杨英光金昊杨阳朝石珺李志鹏中国电子科技集团公司电子科学研究院社会安全风险感知与防控大数据应用国家工程实验室北京100041 北京航空航天大学网络空间安全学院北京100191 中国科学技术大学网络空间安全学院合肥230026 深圳市网联安瑞网络科技有限公司深圳518042

随着移动互联网的大面积普及,社交网络用户数量在这些年也呈指数级增长,比如国外的推特和国内的微博等。与此同时社交网络中的机器账号也在大幅增长,这些机器账号不仅散布广告和低俗信息,甚至会模仿正常用户发言来操控舆论,挑拨对立,影... 详细信息

随着移动互联网的大面积普及,社交网络用户数量在这些年也呈指数级增长,比如国外的推特和国内的微博等。与此同时社交网络中的机器账号也在大幅增长,这些机器账号不仅散布广告和低俗信息,甚至会模仿正常用户发言来操控舆论,挑拨对立,影响用户间正常的交流和社交网络氛围。因此机器账号检测应运而生,需要检测社交平台中的机器账号数量来避免正常用户被误导,并呈现出真实的舆论环境。文中介绍了这些年主流的机器账号检测方案:众包检测平台,基于机器学习的方案,基于深度学习的方案,基于社交关系图的方案和主动式检测方案等。并大体介绍了用于机器账号检测的各项算法技术,总结了各项技术的优缺点。最后本文总结了当前机器账号检测中存在的一些问题和难点,展望了相关研究的未来发展方向。

关键词：社交机器人社交网络机器账号机器学习深度学习

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Deep Learning for Secure Transmission in Reconfigurable Intelligent Surface-Assisted communications

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Journal of communications and Information Networks 2023年第2期8卷 122-132页

作者： Junhao Fang Xiangyu Zou Chongwen Huang Zhaohui yang Yongjun Xu Xiao Chen Jianfeng Shi Mohammad Shikh-Bahaei Centre for Telecommunications research Department of EngineeringKing’s College LondonWC2R 2LSUK national mobile communications research laboratory Southeast UniversityNanjing 210096China College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China Chongqing university of Posts and Telecommunications Chongqing 400065China nanjing university of Information Science and Technology Nanjing 210044China

This paper investigates the secure transmission for reconfigurable intelligent surface(RIS)-assisted wireless communication *** the studied model,one user connects to the access point via a RIS while an eavesdropper eavesdrops on the signal sent from the user to the access ***,it is necessary to design an appropriate RIS reflection vector to solve the eavesdropping *** problem is formulated as an optimization problem whose goal is to maximize the secure energy efficiency which is defined as the ratio of the secure rate to the total energy consumption of the system via jointly optimizing the RIS reflection reflector as well as the number of RIS elements,which results in a non-convex optimization problem that is intractable to solve by traditional *** tackle this issue,a new algorithm by leveraging the advance of the established deep learning(DL)technique is proposed so as to find the optimal RIS reflection vector and determine the optimal number of RIS reflection *** results show that the proposed method reaches 96%of the optimal secure energy efficiency of the genie-aided algorithm.

关键词： RISs physical layer security DL secure energy efficiency

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AI Enlightens Wireless communication:Analyses,Solutions and Opportunities on CSI Feedback

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China communications 2021年第11期18卷 104-116页

作者： Han Xiao Zhiqin Wang Wenqiang Tian Xiaofeng Liu Wendong Liu Shi Jin Jia Shen Zhi Zhang Ning yang Dept.of Standards research OPPOBeijing 100026China China Academy of Information and communications Technology Beijing 100191China national mobile communications research laboratory Southeast UniversityNanjing 211189China

In this paper,we give a systematic description of the 1st Wireless communication Artificial Intelligence(AI)Competition(WAIC)which is hosted by IMT-2020(5G)Promotion Group 5G+AI Work ***,the framework of full channel state information(F-CSI)feedback problem and its corresponding channel dataset are *** the enhancing schemes for DL-based F-CSI feedback including i)channel data analysis and preprocessing,ii)neural network design and iii)quantization enhancement are *** final competition results composed of different enhancing schemes are *** on the valuable experience of 1stWAIC,we also list some challenges and potential study areas for the design of AI-based wireless communication systems.

关键词： MIMO CSI feedback deep learning data preprocessing quantization

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AI Enabled Wireless communications with Real Channel Measurements:Channel Feedback

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Journal of communications and Information Networks 2020年第3期5卷 310-317页

作者： Jiajia Guo Xiangyi Li Muhan Chen Peiwen Jiang Tingting yang Weiming Duan Haowen Wang Shi Jin Quan Yu national mobile communications research laboratory Southeast UniversityNanjing 210096China Peng Cheng laboratory Shenzhen 518000China laboratory of Broadband Wireless Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 201800China

Artificial intelligence(AI)has shown great potential in wireless ***-empowered communication algorithms have beaten many traditional algorithms through ***,the existing works just use the simulated datasets to train and test the algorithms,which can not represent the power of AI in practical communication ***,Peng Cheng laboratory holds an AI competition,national Artificial Intelligence Competition(NAIC):AI+wireless communications,in which one of the topics is AI-empowered channel feedback system design using practical *** this paper,we give a baseline neural network design,QuanCsiNet,for this competition,and the details of the channel *** shows excellent performance on channel feedback and the complexity of the neural networks is also given.

关键词： NAIC artificial intelligence CSI feedback channel measurements

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Wavelet Transform-Based Distributed Compressed Sensing in Wireless Sensor Networks

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China communications 2012年第2期9卷 1-12页

作者： Hu Haifeng yang Zhen Bao Jianmin Key Lab of Broadband Wireless communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications Nanjing 210003 P. R. China national mobile communications research laboratory Southeast University Nanjing 210096 P. R. China

Wireless Sensor Networks(WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the *** this paper,we present a Distributed Wavelet Basis Generation(DWBG) algorithm performing at the sink to obtain the distributed wavelet basis in *** on this basis,a Wavelet Transform-based Distributed Compressed Sensing(WTDCS) algorithm is proposed to compress and reconstruct the sensed data with spatial ***,we make a detailed analysis of relationship between reconstruction performance and WTDCS algorithm parameters such as the compression ratio,the channel Signal-to-Noise Ratio(SNR),the observation noise power and the correlation decay parameter by *** simulation results show that WTDCS can achieve high performance in terms of energy and reconstruction accuracy,as compared to the conventional distributed wavelet transform algorithm.

关键词： WSN distributed compressed sensing distributed wavelet transform

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