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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 | To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design显示文摘Deep learning is driving a radical paradigm shift in wireless communications,all the way from the application layer down to the physical layer.Despite this,there is an ongoing debate as to what additional values artificial intelligence(or machine learning)could bring to us,particularly on the physical layer design;and what penalties there may have?These questions motivate a fundamental rethinking of the wireless modem design in the artificial intelli gence era.Through several physicallayer case studies,we argue for a significant role that machine learning could play,for instance in parallel errorcontrol coding and decoding,channel equalization,interference cancellation,as well as multiuser and multiantenna detection.In addition,we discuss the fundamental bottlenecks of machine learning as well as their potential solutions in this paper. | XUE Songyan LI Ang WANG Jinfei YI Na MA Yi Rahim TAFAZOLLI Terence DODGSON | 2019 | ZTE Communications2019，17，4： | 1 |
| 3 | Genetically Modified Multiuser Detection For Code Division Access Systems显示文摘 | Saied Abedi Rahim Tafazolli | 2002 | IEEE J Selection Areas Comm2002，20，2： | 1 |
| 4 | Centralized downlink call admission control for high altitude platform station UMTS with onboard power resource sharing 显示文摘 | Lim Woo Lip Tafazolli Rahim | 2002 | IEEE Vehicular Technology Conference2002，56，1： | 1 |
| 5 | On the relaying capability of next-generation GSM cellular networks显示文摘 | Aggelou George Neonakis Tafazolli Rahim | 2001 | IEEE Personal Communications2001，8，1： | 1 |
| 6 | Secure degrees of freedom for general MIMO interference channel under rank-deficiency显示文摘As a more trackable performance metric for secrecy capacity,the secure degrees of freedom(SDoF)are widely studied for most multiuser networks in the high signal to noise ratio(SNR)region.However,the SDoF for these networks under rank-deficiency and arbitrary antenna configurations have not yet been determined.In this paper,the SDoF of two-user general multiple-input multiple-output(MIMO)interference channel with confidential messages(ICCM)under rank-deficiency are derived.For the two-user rank-deficient MIMO ICCM,the model is generalized to fully asymmetric settings,where the transmitters and receivers are equipped with arbitrary antennas.The outer bound of SDoF is the union of three outer bounds that are based on the Fano’s inequality and the secrecy constraints,the secrecy penalty lemma and the role of a helper lemma,and the transmitters cooperation,respectively.The SDoF region is subdivided into five regions according to the number of transceivers antennas,and each region has an achievability scheme with designed null space transmission and alignment techniques.Numerical results indicate that the SDoF increase at first and then decrease as the rank of the channel matrix decreases.The SDoF improve by increasing the transmitting antenna or reducing receiving antenna,but the effect of the transmitting antenna is greater. | Wang Qiang Zhang Yijia Zhang Tianjiao Zhang Wenqi Gao Yue Tafazolli Rahim | 2023 | The Journal of China Universities of Posts and Telecommunications2023，30，3： | 0 |
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