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| 1 | Towards 6G wireless communication networks:vision,enabling technologies,and new paradigm shifts显示文摘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 faster and further communications to the extent that the boundary between physical and cyber worlds disappears. | 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 GLARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO HVincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG | 2021 | Science China(Information Sciences)2021，64，1： | 122 |
| 2 | Measurement-device-independent quantum secure direct communication显示文摘Quantum secure direct communication(QSDC)is a unique technique,which supports the secure transmission of confidential information directly through a quantum channel without the need for a secret key and for ciphertext.Hence this secure communication protocol fundamentally differs from its conventional counterparts.In this article,we report the first measurement-deviceindependent(MDI)QSDC protocol relying on sequences of entangled photon pairs and single photons.Explicitly,it eliminates the security loopholes associated with the measurement device.Additionally,this MDI technique is capable of doubling the communication distance of its conventional counterpart operating without using our MDI technique.We also conceive a protocol associated with linear optical Bell-basis measurements,where only two of the four Bell-basis states could be measured.When the number of qubits in a sequence reduces to 1,the MDI-QSDC protocol degenerates to a deterministic MDI quantum key distribution protocol. | ZengRong Zhou Yu Bo Sheng PengHao Niu LiuGuo Yin GuiLu Long Lajos Hanzo | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，3： | 6 |
| 3 | Space-time codes and concatenated channel codes for wireless communications显示文摘 | Liew T H Hanzo L | | 0，，： | 2 |
| 4 | Least bit error rate adaptive nonlinear equalizers for binary signaling 显示文摘 | Chen S Mulgrew B Hanzo L | 2003 | Communications lEE Proceedings2003，150，1： | 1 |
| 5 | Optimum mode-switching-assisted constant-power single-and multicarrier adaptive modulation显示文摘 | Choi B Hanzo L | | 0，，03： | 1 |
| 6 | Residue number system assisted fast frequency-hopped synchronous ultra-wideband spread-spectrun multiple-access: a design alternative to impulse radio 显示文摘 | Yang L L Hanzo L | 2002 | IEEE Journal an Selected Areas in Communications2002，20，9： | 1 |
| 7 | Adaptive minimum symbolerror-rate decision feedback equalization for multilevel pulse-amplitude modulation 显示文摘 | Chen S Hanzo L Mulgrew B | 2004 | Signal Processing IEEE Transactions on2004，52，7： | 1 |
| 8 | Residue number system assisted fast frequencyhopped synchronous ultra-wideband spreadspectrum multiple-access:a design alternative to impulse radio 显示文摘 | YANG Lie-liang HANZO L | 2002 | IEEE Journal on Selected Areas in Communication2002，20，9： | 1 |
| 9 | Orthogonal frequency division multiplex synchronization techniques for frequency-selective fading channels显示文摘 | T Keller L Piazzo P Mandarini L Hanzo | 2001 | IEEE J Select Areas Commun2001，19，6： | 1 |
| 10 | A subband coding,BCH coding and 16-QAM system for mobile radio speech communication显示文摘 | Steele R Fortune P | 1990 | IEEE Trans Veh Technol1990，39，4： | 1 |
| 11 | Adaptive Modulation Technique for Duplex OFDM Transmission显示文摘 | Keller T Hanzo L | 2000 | IEEE Transac- tions on Vehicular Technology2000，49，5： | 1 |
| 12 | Generalized MBER-based Vector Precoding Design for Multiuser Transmission显示文摘 | Yao W Chen S Hanzo L | 2011 | IEEE Trans on Vehicular Technology2011，60，2： | 1 |
| 13 | Adaptive Modulation Techniques for Duplex OFDM Transmission显示文摘 | Keller T Hanzo L | 2000 | IEEE Trans on Vehicular Technology2000，49，5： | 1 |
| 14 | On the MIMO Channel Ca- pacity of Multidimensional Signal Sets显示文摘 | NG S HANZO L | 2006 | IEEE Transactions on Vehicular Technology2006，55，2： | 1 |
| 15 | Reliability ratio based weighted bit-flipping decoding for low-density parity-check codes显示文摘 | Guo F and Hanzo 1 | 2004 | Electronics Letters2004，40，21： | 1 |
| 16 | Upper bound performance of adaptivemodulation in a slow rayleigh fading channel 显示文摘 | Torrance J M Hanzo L | 1996 | ElectronicsLetters1996，32，8： | 1 |
| 17 | Multiuser mimo-ofdm for next-generationwireless systems显示文摘 | Jiang Ming Hanzo Lajos | 2007 | Proceedings of the IEEE2007，95，7： | 1 |
| 18 | Semi-blind adaptive spatial equalization for MIMO systems with high-or- der QAM signaling显示文摘 | CHEN S YAO W HANZO L | 2008 | IEEE transactions on wireless communications2008，7，11： | 1 |
| 19 | Adaptive multicarrier modulation: a convenient framework for time-frequency processing in wireless communications 显示文摘 | Keller T Hanzo L | 2000 | Proceedings of the IEEE2000，88，5： | 1 |
| 20 | Antenna-diversity-assisted geneticalgorithm-based multiuser detection schemes for synchronous CDMA systems显示文摘 | YEN K HANZO L | 2003 | IEEE Trans Commun2003，51，3： | 1 |
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