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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 | An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications显示文摘To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation(5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation(4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output(MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array(which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas(which is also called large-scale distributed MIMO)are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information(CSI) acquisition, wireless transmission technology, and resource allocation. | Dongming WANG Yu ZHANG Hao WEI Xiaohu YOU Xiqi GAO Jiangzhou WANG | 2016 | Science China(Information Sciences)2016，59，8： | 21 |
| 3 | Dual-turbo receiver architecture for turbo coded MIMO-OFDM systems显示文摘This paper presents a novel architecture of iterative receivers with two layers of iterations for turbo coded multiple-input and multiple-output orthogonal frequency-division multiplexing(MIMO-OFDM)systems,where soft messages are passed not only between the MIMO detector and the turbo decoder,but also between the two component decoders within the turbo decoder.We first derive the factor graph representation of a turbo coded system as a basic building block for developing the iterative receivers.Then,a new soft message passing schedule over the factor graph is proposed,resulting in the proposed dual-turbo receiver architecture(DTRA).In DTRA,the MIMO detector and the turbo decoder work concurrently,and the soft messages for both layers of iterations are updated instantaneously,instead of the block-based exchange of soft messages in the conventional iterative receivers.In so doing,the processing latency can be greatly reduced while low computational complexity can be achieved. | WANG WenJin GAO XiQi WU XiaoFu YOU XiaoHu ZHAO ChunMing WONG Kai-Kit | 2012 | Science China(Information Sciences)2012，55，2： | 5 |
| 4 | Resource allocation for pilot-assisted massive MIMO transmission显示文摘This paper is on the resource allocation problem for pilot-assisted multi-user massive multipleinput-multiple-output(MIMO) uplink with linear minimum mean-squared error(MMSE) channel estimation and detection. We utilize the angular domain channel representation for uniform linear antenna arrays, and adopt its equivalent independent and nonidentical distributed channel model. For a given coherence interval and total energy budget, we study the joint optimization of the training length and the training power to maximize the achievable sum-rate. For tractable analysis and low-complexity solution, a tight approximation on the achievable sum-rate is derived first. Then the training length optimization for fixed training power and the training power optimization for fixed training length with respect to the approximate sum-rate maximization are both shown to be concave. An alternative optimization that solves the training length and power iteratively is proposed for the joint resource allocation. In addition, for the special case that the training and data transmission powers are equal, we derive the optimal training lengths for both high and low signal-to-noiseratio(SNR) regions. Numerical results show the tightness of the derived sum-rate approximation and also the significant performance advantage of the proposed resource allocation. | Yun XUE Jun ZHANG Xiqi GAO | 2017 | Science China(Information Sciences)2017，60，4： | 4 |
| 5 | Efficient co-channel interference suppression in MIMO-OFDM systems显示文摘In this paper, we investigate channel frequency response(CFR) matrix and interference-plus-noise covariance matrix(ICM) estimation in multiple-input multiple-output(MIMO) and orthogonal frequency division multiplexing(OFDM) systems to suppress co-channel interference at the receiver side. We employ least square criterion to perform the initial CFR estimation. Then we estimate the autocorrelation function of interference-plus-noise in the time domain, instead of estimating the ICM in the frequency domain directly.The autocorrelation function estimation has two steps. Firstly, we present the inherent relationship between the expectation of the sample autocorrelation function of the residual(SAFR) and the true autocorrelation function, which is actually a linear transformation. Based on this, we propose a compensating method. This compensation brings significant performance gains when the pilot OFDM symbol number is small. Secondly,since the compensated SAFR cannot be guaranteed to be an autocorrelation sequence(ACS), which will make the obtained ICM loss the positive semidefinite property, we utilize semidefinite programming(SDP) to find an ACS that is the nearest to the compensated SAFR. The SDP is solved in its dual form, which yields a significant reduced complexity. Finally the estimated ICM is reutilized to revise the CFR estimation. The estimated CFR and ICM show excellent interference suppression performances when being applied in an interference rejection combining receiver. | MENG Xin JIANG Bin GAO XiQi | 2015 | Science China(Information Sciences)2015，58，2： | 4 |
| 6 | Unifying eigen-mode MIMO transmission显示文摘Multiple-input multiple-output (MIMO) technique plays a key role in improving the spectrum and power efficiency in future mobile communication systems. Exploiting a unified MIMO transmission scheme that can adapt with various channel conditions is well motivated both in theory and practical applications. An eigen-mode based closed-loop MIMO transmission over frequency selective fading MIMO channels, which considers receive correlation, transmit correlation and line of sight (LOS) components, is investigated by maximizing the upper bound of channel capacity under the assumption that the channel is partially known at the transmitter and perfectly known at the receiver. Based on the eigen-mode transmission, several key techniques including linear precoding, stream selection, virtual spatial hopping and online capacity estimation are proposed, and a unified MIMO transmission scheme is established. Both computer simulation and field test results show that the proposed scheme can significantly improve the spectral efficiency and link reliability under various channel conditions. | GAO XiQi YOU XiaoHu JIANG Bin WANG WenJin JIN Shi | 2009 | Science in China(Series F)2009，52，12： | 4 |
| 7 | EFFECTS OF TEMPERATURE TREATMENT ON MICROSTRUCTURE AND PROPERTIES OF ZA27 ALLOY显示文摘EFFECTSOFTEMPERATURETREATMENTONMICROSTRUCTUREANDPROPERTIESOFZA27ALLOY￥Geng,Haoran;Geng,Guili;Gao,Xiqi;Ma,Jiaji(DepartmentofMa... | Geng, Haoran Geng, Guili Gao, Xiqi Ma, Jiaji | 1995 | 中国有色金属学会会刊:英文版1995，5，3： | 3 |
| 8 | MMSE SQRD based SISO detection for coded MIMO-OFDM systems显示文摘In this paper,we propose a minimum mean square error(MMSE)sorted QR decomposition(SQRD)based soft-input soft-output(SISO)detection algorithm for coded multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM)systems.The proposed detection is derived from the SISO MMSE detection,which is a popular detection strategy for iterative receivers.For each transmitted symbol in the proposed detection,a soft successive interference cancellation(SIC)is performed based on a posteriori probabilities of past detected symbols.Simulation results show that the proposed detection,while needing less computational efforts,achieves significant performance gain compared with the SISO MMSE detection. | ZHONG Wen LU AnAn GAO XiQi | 2014 | Science China(Information Sciences)2014，57，4： | 3 |
| 9 | Robust MMSE precoding for massive MIMO transmission with hardware mismatch显示文摘Due to hardware mismatch, the channel reciprocity of time-division duplex massive multipleinput multiple-output system is impaired. Under this condition, there exist several different approaches for base station(BS) to obtain downlink(DL) channel information based on the minimum mean-square-error(MMSE) estimation method. In this paper, we show that with the hardware mismatch parameters BS can obtain the same DL channel information via these different approaches. As the obtained DL channel information is usually imperfect, we propose a precoding technique based on the criterion that minimizes the mean-square-error(MSE) of signal detection at the user terminals(UTs). The proposed precoding is robust to the channel estimation error and significantly improves the system performance compared to the conventional regularized zero-forcing precoding. Furthermore, we derive an asymptotic approximation of the ergodic sum rate for the proposed precoding using the large dimensional random matrix theory, which is tight as the number of antennas both at the BS and UT approach infinity with a fixed non-zero and finite ratio. This approximation can provide a reliable sum rate prediction at a much lower computation cost than Monte Carlo simulations. Simulation results show that the approximation is accurate even for a realistic system dimension. | Yan CHEN Xiqi GAO Xiang-Gen XIA Li YOU | 2018 | Science China(Information Sciences)2018，61，4： | 3 |
| 10 | Outage analysis of cognitive two-way relaying networks with SWIPT over Nakagami-m fading channels显示文摘Dear editor,Green wireless communication has attracted the attention of the research community in recent years[1,2].Simultaneous wireless information and power transfer(SWIPT)technique is an attractive research area,since it enables the wireless nodes | Jing YANG Xiqi GAO Shanyang HAN Kostas P.PEPPAS P.Takis MATHIOPOULOS | 2018 | Science China(Information Sciences)2018，61，2： | 2 |
| 11 | Fast-convolution multicarrier based frequency division multiple access显示文摘Fast-convolution multicarrier(FCMC), the asynchronous waveform with ultra-low sidelobe, has appeared to be a promising waveform technique for future wireless communications. In this paper, we investigate the filter bank optimization as well as receiver design including low-complexity channel estimator and equalizer for FCMC based frequency division multiple access(FDMA). Starting from the conventional multi-carrier signals, we first derive a vectorized signal model as a framework to systematically design the FCMC transceiver. For nearly perfect reconstruction(NPR) filter banks design, an optimization criterion which consists of minimizing received signal segments’ mean square error(MSE) is proposed. From the fact that Toeplitz matrices can be asymptotically diagonalized by discrete Fourier transform(DFT) matrix, the channel equalizer can be simplified to one-tap frequency domain equalizer when DFT size is large enough.The minimum mean square error(MMSE) criterion is then applied to calculate the coefficients of onetap frequency domain equalizer. In practice, due to the channel fading, the channel estimation has to be performed to obtain the channel state information(CSI) which is required by the channel equalization. To this end, we propose a combined cyclic prefix(CP) and cyclic suffix(CS) pilot structure which facilitates to estimate the frequency domain CSI directly in the receiver end. The proposed FCMC based FDMA features low-complexity receiver, adjustable users’ bandwidth and low peak-to-average power ratio. Simulation results confirm the performance of the proposed scheme. | Yining LI Wenjin WANG Jiaheng WANG Xiqi GAO | 2019 | Science China(Information Sciences)2019，62，8： | 2 |
| 12 | A sub-block orthogonal single carrier frequency domain equalization system in fast Rayleigh fading channel显示文摘In this paper,we analyze the frequency domain linear equalization(FDLE) of single carrier block transmission(SCBT) systems under fast fading channel.First,we propose a new approximating model in which the channel is assumed to be static in sub-blocks vary each other.Based on this model,we derive a new 2-orthogonal-sub-blocked frequency domain equalization method.Then,we derive the conditions of the channel under which the equalization method can be applied to the 2-orthogonal-sub-blocked systems.Simulation demonstrates that the proposed method can improve the anti-Doppler ability of SC-FDLE and at the same time keep its high efficiency and low complexity. | LIU Rui GAO XiQi WANG WenJin | 2010 | Science China(Information Sciences)2010，53，9： | 2 |
| 13 | User scheduling for downlink FD-MIMO systems under Rician fading exploiting statistical CSI显示文摘In this paper, we consider the user scheduling algorithm for downlink full-dimension multipleinput multiple-output(FD-MIMO) system under Rician fading channels. We assume that two-dimensional(2 D) large-scale antenna array is deployed at base station(BS). An approximation of user's signal-tointerference-plus-noise ratio(SINR) and a lower bound of user's average signal-to-leakage-plus-noise ratio(SLNR) are derived. Based on these, two user scheduling algorithms exploiting only statistical channel state information(CSI) are proposed. The proposed algorithms take both the achievable sum rate and fairness into account. Simulation results reveal that the proposed user scheduling algorithms can make good trade-off between the achievable rate and fairness. | Xiao LI Tingting SUN Nana QIN Shi JIN Xiqi GAO | 2018 | Science China(Information Sciences)2018，61，8： | 2 |
| 14 | Near-optimal pow-er allocation for MIMO channels with mean or covar-iance feedback 显示文摘 | Li Xiao Jin Shi Gao Xiqi | 2010 | IEEE Transactions on Communi-cations2010，58，1： | 1 |
| 15 | The theory and implementation of arbitrary-length linear - phase cosinemodulated filter bank 显示文摘 | GAO Xiqi HE Zhenya XIA Xianggen | 2000 | Signal Processing2000，80，： | 1 |
| 16 | Multi-user MIMO downlink eigen-mode transmission over jointly correlated MIMO channels显示文摘The study of multi-user multiple-input multiple-output (MU-MIMO) systems has emerged recently as an important research topic because such systems have the potential to combine the high capacity that can be achieved through MIMO processing with the benefits of spatial-division multiple-access.However,receiver and transmitter channel state information (CSI) is generally required,especially for the downlink channel.In this paper,MU-MIMO downlink transmission systems with statistical CSI at the transmitter are studied for jointly correlated MIMO channels.Eigen-mode space division multiple access transmission is derived based on the maximization of the ergodic sum rate,and two eigen-mode power allocation algorithms are proposed using matrix permanent and convex optimization theory.The new algorithms can overcome the limitations of the existing multi-user downlink transmission algorithm in practical applications. | LI Xiao JIN Shi GAO XiQi | 2011 | Science China(Information Sciences)2011，54，10： | 1 |
| 17 | Cellular architecture and key technologies for 5Gwireless communication networks 显示文摘 | WANG Cheng-Xiang FOURAT Haider GAO Xiqi etal | 2014 | IEEE Communica-tions Magazine2014，52，2： | 1 |
| 18 | AMP Dual-Turbo Iterative Detection and Decoding for LDPC Coded Multibeam MSC Uplink显示文摘The uplink of mobile satellite communication(MSC) system with hundreds of spot beams is essentially a multiple-input multiple-output(MIMO) channel. Dual-turbo iterative detection and decoding as a kind of MIMO receiver, which exchanges soft extrinsic information between a soft-in soft-out(SISO) detector and an SISO decoder in an iterative fashion, is an efficient method to reduce the uplink inter-beam-interference(IBI),and so the receiving bit error rate(BER).We propose to replace the linear SISO detector of traditional dual-turbo iterative detection and decoding with the AMP detector for the low-density parity-check(LDPC) coded multibeam MSC uplink. This improvement can reduce the computational complexity and achieve much lower BER. | Yang Yang Wenjing Wang Xiqi Gao | 2018 | China Communications2018，15，6： | 1 |
| 19 | Frequency Offset Estimation and Training Sequence Design for MIMO OFDM显示文摘 | Jiang Yanxiang Minn H Gao Xiqi | 2008 | IEEE Transactions on Wireless Communications2008，7，4： | 1 |
| 20 | DFTbased channel estimator for OFDM systems with leakage estimation 显示文摘 | XIN Xiong BIN Jiang GAO Xiqi You Xiaohu | 2013 | IEEE Communications Letters2013，17，8： | 1 |
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