Joint transceiver beamforming in MIMO cognitive radio network by Yan GUO, Fang-jun ZHU, Ning LI, Xiao-yun YUAN

Subjects: “…MIMO…”
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Novel method for angle estimating of bistatic MIMO radar by Zhi-dong ZHENG, Jian-yun ZHANG, Jin-you QU, Xiu-qing LIN

Subjects: “…bistatic MIMO radar…”
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GAN-based channel estimation for massive MIMO system by Yuxiu HUA, Rongpeng LI, Zhifeng ZHAO, Jianjun WU, Honggang ZHANG

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Nonlinear MIMO Control of a Continuous Cooling Crystallizer by Pedro Alberto Quintana-Hernández, Raúl Ocampo-Pérez, Salvador Tututi-Avila, Salvador Hernández-Castro

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Umbrella-Shaped Wideband MIMO Wireless Communication Antenna by Hussein Mohammed Naser, Oras Ahmed Al-Ani, Mahmood Farhan Mosleh, Faiz Arith

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Adaptive iterative bit allocation algorithm for MIMO-OFDM system by FAN Ling-yan1, HE Chen2, FENG Guo-rui3

“…The adaptive iterative modulation was proposed for multiple-input-multiple-output-orthogonal frequency divi-sion multiplexed（MIMO-OFDM） system.An adaptive minimum transmit power modulation scheme under constant data rate and fixed bit error rate（BER） for the MIMO-OFDM system was proposed to adjust the modulation order and allo-cates the transmit power to each spatial sub-channel by iterative method considering the requirement of the practical communication system.It can meet the user’s requirements and get better freguency efficiency at the cost of minimum transmission power.And it can avoid the error by round the modulation order.Computer simulation results present the ef-ficiency of the proposed scheme.…”
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MIMO Radar Adaptive Waveform Design for Extended Target Recognition by Lulu Wang, Kai-Kit Wong, Hongqiang Wang, Yuliang Qin

“…The problems of multiple-input multiple-output (MIMO) radar adaptive waveform design in additive white Gaussian noise channels and multitarget recognition based on sequential likelihood ratio test are jointly addressed in this paper. …”
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Investigations on the effects of scatterers on the MIMO channel characteristics in LOS environment by LIU Lei-lei, HONG Wei

Subjects: “…MIMO…”
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Measurement based modeling and validation of wireless MIMO channel models by A. A. Kalachikov, N. S. Shelkunov

Subjects: “…mimo channel sounder…”
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Method of overall resource efficiency measure of MIMO wireless communications by Jin-zhu LIU, Lian-feng SHEN

Subjects: “…MIMO wireless communication system…”
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Low-complexity sparse channel estimation for massive MIMO systems by Xin FANG, Yunju LIU, Haiyan CAO, Peng PAN

Subjects: “…massive MIMO…”
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Physical layer security of MIMO wireless systems with adaptive modulation by Hui LI, Guangqiu LI, Yancui LUO, Huizhi LIU

“…To solve the problems of low spectral efficiency and poor performance of physical layer security (PLS) in single-input single-output (SISO) wireless systems with adaptive modulation in the presence of an active eavesdropper, multiple-input multiple-output (MIMO) wireless systems with secure adaptive modulation (SAM) were proposed.The design idea was to improve the spectral efficiency of the main channel by antenna diversity technology, which used the transmit antenna selection (TAS) at the transmitter and the maximal ratio combining (MRC) at the legitimate receiver to improve the signal-to-noise ratio.Simultaneously, the PLS of the legitimate receiver was guaranteed by limiting the bit error rate of the active eavesdropper so that it could not demodulate the confidential information from the main channel.With the joint constraints of the average transmission power and PLS, the optimal switching thresholds and the analytical expressions of spectral efficiency and the eavesdropper’s average bit error rate of the SAM-MIMO systems were derived.Numerical and simulation results show that SAM systems using TAS/MRC technology can not only improve the spectral efficiency of the main channel, but also ensure the PLS against the active eavesdropper, compared with the SAM-SISO systems.…”
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Modeling and Simulation of MIMO Mobile-to-Mobile Wireless Fading Channels by Gholamreza Bakhshi, Reza Saadat, Kamal Shahtalebi

“…In this paper, we propose the modified geometrical two-ring model, a MIMO channel reference model for M-to-M communication systems. …”
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Sum-rate maximization in MIMO NOMA system with imperfect CSI by Yanjing SUN, Yang LIU, Jiasi ZHOU, Qi CAO, Song LI

“…In order to solve the problem of maximizing the sum rate under the constraints of transmission power limitation and users’ rates requirements,precoder and receiver were devised by combining multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) based on imperfect channel state information (CSI).To take advantage of successive interference cancellation (SIC) techniques to eliminate interference from weak user’s signal,each data stream of the strong user needed to decode the corresponding weak user’s signal.Since the problem formed was non-convex,it was converted into the problem with the difference of two convex functions (D.C.) by using semi-positive definite programming and first-order Taylor expansion,and a penalty function was used to solve the constraint of the rank of the precoding covariance matrix.The simulation results show that compared with the orthogonal multiple access technology,the proposed D.C.algorithm can improve system sum rate.…”
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Impact of Vehicular Array Position on Urban MIMO Channel Characteristics by Christopher C. Squires, Tricia J. Willink

“…MIMO channel measurements have been performed in urban environments with antenna arrays positioned on the roof and sides of the measurement vehicle. …”
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Optimum iterative water-filling algorithm for cognitive MIMO MAC by Fei WEI, Zhen YANG

“…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
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Pilot contamination reduction in very large MIMO cellular network by Hai-rong WANG, Yu-hui WANG, Yong-ming HUANG, Lv-xi YANG

“…Two pilot contamination reduction methods in very large MIMO cellular network were proposed by dividing all cells into two types of one-dimensional very large MIMO network.The same pilot sequences were used in cells in the same category while orthogonal pilot sequences were used between these two categorie.Then the pilot power control method can be used to achieve the purpose of alleviating pilot contamination.By coordinating among base stations,the nearly optimal length of pilot sequences and assignment of pilot transmission could be found through minimizing the sum of channel estimation mean square error of all base stations.Thus,much better performance of channel estimation could be obtained,greatly enhancing the sum rate in downlink in all cells.…”
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分布式天线系统MIMO信道容量分析 by 李汉强, 郭伟, 郑辉

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Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles by Jian Sun, Fudong Li, Cheng-Xiang Wang, Xuemin Hong, Dongfeng Yuan

“…This paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. …”
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Channel estimation method for massive MIMO system in Rice channel by Xueli WANG, Haiquan WANG, Xiao LI, Dakuan YANG

Subjects: “…massive MIMO system…”
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