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Combined diversity and multiplexing for multiple-input multiple-output system with cochannel interference

IET COMMUNICATIONS 2010年第10期4卷 1164-1173页

作者： Wang, J. T. Natl Chi Nan Univ Grad Inst Commun Engn Puli Nantou Taiwan

A multiple-input multiple-output (MIMO) system that combines diversity and multiplexing is proposed for multi-cellular networks with cochannel interference. In the proposed MIMO system, the data stream is divided into multiple substreams, and each substream is transmitted and received over multiple antenna elements. Because of having both the advantages provided by diversity and multiplexing, the proposed MIMO system can gain larger throughput than the scheme with either diversity or multiplexing solely being employed. We propose an algorithm to find the optimum antenna configuration that maximises the throughput of the proposed MIMO system. We also propose a power control algorithm for the proposed MIMO system such that the interference is decreased and the throughput can be increased. In addition, the time division multiple access scheme and a scheduling algorithm are proposed to mitigate the interference in one time slot so that the throughput of the proposed MIMO system can be further increased.

关键词： cochannel interference cellular radio multiplexing power control MIMO communication time division multiple access Mobile radio systems multicellular networks multiple-input multiple-output system multiple access communication scheduling optimum antenna configuration

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Efficient reduction of peak-to-average power ratio in multiple-input multiple-output orthogonal frequency-division multiplexing system by shuffling cluster sequences

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ETRI JOURNAL 2024年第6期46卷 998-1006页

作者： Mi, Si Sar Mata, Tanairat Boonsrimuang, Pornpawit Boonsrimuang, Pisit King Mongkuts Inst Technol Ladkrabang Fac Engn Dept Telecommun Engn Bangkok Thailand Rajamangala Univ Technol Krungthep Fac Engn Dept Elect & Telecommun Engn Bangkok Thailand Suan Sunandha Rajabhat Univ Fac Engn & Ind Technol Div Comp Engn Bangkok Thailand

We propose a shuffling cluster sequence technique without separate side information (SI) for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In the proposed technique, the active subcarriers over two consecutive OFDM symbols are divided into 2V$$ 2V $$ clusters, and each cluster (packet frame) includes a header for ID#cluster and payload for Data#cluster$$ Data\# cluster $$. The 2V$$ 2V $$ clusters are shuffled to reduce the peak-to-average power ratio (PAPR) of the time-domain OFDM signal, which includes the information data and SI signals, with a low computational complexity. At the receiver, the information data can be correctly reconstructed by ID#cluster in the header of each cluster, achieving a smaller bit error rate than the conventional MIMO-OFDM system without PAPR reduction. Moreover, our technique is comparable with the conventional partial transmit sequence technique without the impact of a separate SI signal even when increasing the number of transmitter antennas in a nonlinear multipath fading channel.

关键词： computational complexity multiple-input multiple-output system orthogonal frequency-division multiplexing partial transmit sequence peak-to-average power ratio peak-to-average power ratio reduction

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Analysing bit-interleaved coded modulation in multiple-input multiple-output systems with channel estimation error

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IET COMMUNICATIONS 2012年第11期6卷 1502-1510页

作者： Andalibi, Z. Nguyen, H. H. Salt, J. E. Univ Saskatchewan Dept Elect & Comp Engn TRlabs Saskatoon SK S7N 5A9 Canada

The performance of bit-interleaved coded modulation in multiple-input multiple-output (BICM-MIMO) systems using an iterative channel estimator is analysed. In a conventional iterative channel estimator, after initialisation with the training phase, the channel estimator switches to the data phase. However, such a conventional iterative channel estimator does not always improve the performance of the receiver. In order to guarantee the performance improvement, a condition on when the output of the decoder should be used by the estimator is determined. Such a condition is related to the reliability of the soft information utilised by the channel estimator. The key in establishing this relationship is to use the mutual information (MI) that the observation vector has about the channel gains given the output of the decoder at each iteration. In this switch-augmented conventional iterative channel estimator, referred to as SAICE, the condition is theoretically found and indicates the needed reliability of the soft information for the channel estimator at the switching time. The switch-augmented scheme guarantees performance improvement of the iterative receiver with each iteration, however, it might need many iterations to converge for moderate to low signal-to-noise ratios (SNRs). A less computationally intensive approach is to use both the training and data segments of the observation. This approach produces a combined iterative channel estimator (CICE) for BICM-MIMO systems. The performance behaviour of the BICM-MIMO system is illustrated through the extrinsic information transfer (EXIT) chart with imperfect channel state information (CSI). Analytical results are verified with computer simulations.

关键词： reliability Communication switching SAICE error Reliability signal-to-noise ratio BICM-MIMO system observation vector multiple-input multiple-output system MI Codes modulation coding imperfect CSI wireless channels iterated switching networks channel estimation combined iterative channel estimator Algebra soft information utilised mutual information channel coding EXIT chart interleaved codes radio receivers bit-interleaved coded modulation analysis less computationally intensive approach radio receiver vectors extrinsic information transfer chart CICE channel estimator switch imperfect channel state information decoder Radio links and equipment Communication channel equalisation and identification iterative decoding SNR switch-augmented conventional iterative channel estimator error telecommunication network reliability MIMO communication

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Accelerated sphere decoding for multiple-input multiple-output systems using an adaptive statistical threshold

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IET SIGNAL PROCESSING 2009年第6期3卷 433-444页

作者： Wu, X. Thompson, J. S. Univ Edinburgh Inst Digital Commun Edinburgh EH9 3JL Midlothian Scotland

The authors present a complexity reduced near-maximum-likelihood (ML) scheme for the decoding of multiple-input multiple-output (MIMO) systems, which is targeted at a recently proposed fixed-complexity sphere decoder (FSD). The proposed decoder that the authors call the statistical threshold-based FSD (ST-FSD) combines a threshold constraint strategy with the FSD search region, thus speeding up the FSD algorithm by avoiding unnecessary search paths. As a consequence, higher efficiency and lower complexity can be obtained. The optimum threshold is derived through analysis of the statistical distributions of the correct and erroneous estimates. Furthermore, a tight lower bound on the threshold has been obtained by using the singular value decomposition (SVD) method and applied to the FSD. From simulation results, the proposed scheme is shown to be able to achieve a significant reduction in computational complexity with almost no performance degradation compared to the original FSD algorithm. Moreover, a novel grouped architecture for efficient hardware implementation of the proposed ST-FSD algorithm is motivated through simulation results and shown to compare favourably with the alternative options. This confirms that the ST-FSD is advantageous with respect to the original FSD in terms of the overall complexity.

关键词： maximum likelihood decoding multiple-input multiple-output system adaptive decoding Codes SVD method statistical distributions near-maximum-likelihood scheme accelerated sphere decoding Algebra fixed-complexity sphere decoder adaptive statistical threshold ST-FSD algorithm MIMO system threshold constraint strategy computational complexity Radio links and equipment singular value decomposition MIMO communication Other topics in statistics

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Error probability performance analysis for multicarrier direct sequence code division multiple access multiple-input-multiple-output systems over correlated η-μ fading channels

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IET COMMUNICATIONS 2014年第17期8卷 2971-2983页

作者： Amok, James Osuru Mark Saad, Naufal Mohamed Univ Teknol PETRONAS Dept Elect & Elect Engn Tronoh 31750 Perak Malaysia

The authors investigate the performance of multiple-input-multiple-output multicarrier direct sequence code division multiple access system operating over arbitrarily and equally correlated -mu fading channels in terms of average bit error probability and average symbol error probability. Closed form expressions for average error probability using moment generating function-based approach are derived and expressed in terms of Lauricella's multivariate hypergeometric functions. Furthermore, based on numerical results, they observe that the performance of the system improves when the number of multipath clusters increases as well as the number of subcarriers (frequency diversity). Similarly, substantial enhancement in system performance is observed due to the effect of spatial diversity. Finally, they verify the results via Monte Carlo simulation-based method to support the accuracy of the analytical approach and also compare with already published ones.

关键词： error statistics code division multiple access MIMO communication Monte Carlo methods Nakagami channels spread spectrum communication error probability performance analysis multicarrier direct sequence code division multiple access bit error probability symbol error probability moment generating function based approach Lauricella multivariate hypergeometric function multipath cluster Monte Carlo simulation based method correlated - fading channels multiple-input multiple-output system MIMO systems

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Rate-varying space-time coding scheme for multiple-input multiple-output fading channel with zero-forcing receiver

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IET COMMUNICATIONS 2016年第6期10卷 624-631页

作者： Wang, Chao Zhang, Zhaoyang Zhejiang Univ Dept Informat Sci & Elect Engn Hangzhou Peoples R China

In this study, a rate-varying space-time pre-coding scheme for a multiple-input multiple-output system in a fast-fading channel is proposed. In particular, unlike the traditional fixed rate space-time coding scheme, the transmitter which has no channel state information keeps choosing a pre-coding matrix randomly at each space-time symbol period to deliver the information until it is successfully decoded by the receiver. Since the number of received symbol vectors needed to successfully decode the information is determined by the channel realisation, the coding rate of the proposed scheme can adapt to the fast-fading channel. The exact expression of the equivalent signal-to-noise ratio gain after the post-combining and zero-forcing equalisation at the receiver side is derived, and a design criteria to achieve optimal performance in terms of average error probability and ergodic capacity under the mean power constraint is provided. Based on this, a minimal variance pre-coding (MVP) scheme is designed, which is compared with an intuitive Gaussian pre-coding scheme. It is shown that the MVP scheme has better performance and could adapt to different channel conditions.

关键词： post-combining zero-forcing equalisation design criteria multiple-input multiple-output system error statistics equivalent signal-to-noise ratio space-time codes Codes precoding mean power constraint fading channels ergodic capacity MVP scheme rate-varying space-time precoding scheme channel realisation fast-fading channel Radio links and equipment average error probability minimal variance precoding scheme intuitive Gaussian precoding scheme MIMO communication Other topics in statistics

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H_∞ control system for a four-high stand rolling mill

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF systemS AND CONTROL ENGINEERING 2000年第I2期214卷 79-86页

作者： Lisini, GG Toni, P Valigi, MC Univ Florence Dipartimento Energet I-50139 Florence Italy Univ Perugia Dipartimento Ingn Ind Perugia Italy

In steelworks the demand for a higher product quality level has improved the rolling mill process by means of a proper work roll speed control system. Firstly this paper proposes a lumped-parameter hot-rolling mill model. The rolling mill examined is reversible and equipped with an independent speed control system for each work roll (two single-input single-output systems). Therefore, the same revolution speed, essential for a high-quality process, can only be ensured by equal set point values. Nevertheless, during the process, different disturbance load torques cause speed differences and, even if they are not noticeable, rolled section defects cannot be avoided. The second part of the paper shows that it is possible to design a proper H-infinity controller, to change the two independent control systems into a more complex multiple-input multiple-output system that will obtain decidedly better performances. Simulation examples have shown improvements.

关键词： rolling mill speed control system multiple-input multiple-output system H-infinity control

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Semi-definite relaxation decoder for 256-QAM MIMO system

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ELECTRONICS LETTERS 2010年第11期46卷 796-U95页

作者： Shao, Z. Y. Cheung, S. W. Yuk, T. I. Univ Hong Kong Dept Elect & Elect Engn Hong Kong Hong Kong Peoples R China

A semi-definite relaxation decoder is proposed for a multiple-input multiple-output (MIMO) system based on 256-QAM constellation. Simulation results indicate that it is computationally efficient and can provide better... 详细信息

关键词： semi-definite relaxation decoder 256-QAM MIMO system multiple-input multiple-output system quadrature amplitude modulation block-error-rate performance Codes MIMO communication sub-optimal decoder Radio links and equipment decoding

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Blind modulation classification algorithm based on machine learning for spatially correlated MIMO system

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IET COMMUNICATIONS 2017年第7期11卷 1000-1007页

作者： Liu, Xiaokai Zhao, Chenglin Wang, Pengbiao Zhang, Yang Yang, Tianpu Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Peoples R China Dept China Mobile Grp Design Inst Co Ltd Beijing Peoples R China

Spatial correlation is a decisive factor for pragmatic multiple-input multiple-output (MIMO) system, simultaneously bringing about some problems in the received signal modulation identification respect. In this study, the authors focus on blind digital modulation identification in the spatially correlated MIMO system and deliver a robust signal recognition algorithm based on extreme learning machine (ELM) and higher order statistical features for MIMO signal identification without a priori knowledge of the channel and signal parameters. The superiority of ELM lies in random selections of hidden nodes and ascertains output weights analytically, which result in lower computational complexity. Theoretically, this algorithm has a tendency to supply excellent generalisation performance at staggering learning rate. Further, the simulation results indicate that the ELM could reap a perfectly acceptable recognition performance and thus provides a solid ground structure for tackling MIMO modulation challenges in low signal-to-noise ratio.

关键词： ELM signal-to-noise ratio learning (artificial intelligence) multiple-input multiple-output system Communications computing spatially correlated MIMO system Modulation and coding methods extreme learning machine Knowledge engineering techniques recognition performance MIMO modulation challenges modulation blind modulation classification algorithm telecommunication computing machine learning computational complexity Radio links and equipment MIMO signal identification spatial correlation MIMO communication

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Beamforming and combining for multi-user large MIMO communication system

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IET COMMUNICATIONS 2020年第19期14卷 3334-3339页

作者： Arti, M. K. Rani, Pratibha Dimri, Pradeep Kumar Vashishath, Munish Ambedkar Inst Adv Commun Technol & Res New Delhi 110031 India JC Bose Univ Sci & Technol YMCA Sec 6 Faridabad 121006 Haryana India

A beamforming and combining method for a multi-user large multiple-input multiple-output (MIMO) system is proposed, in this study. A transmitter is equipped with a very large number of antennas to serve many users. At the transmitter, a group of antennas is allocated to each user. For a particular group of antennas, a specific beamforming vector is employed at the transmitter for transmission of a signal of a specific user. At the user end, a distinct combining vector is utilised for detecting the transmitted signal. In the proposed scheme, first, the interference due to unwanted signals of undesired users is nullified by using the concept of null space. Then the method of maximum ratio transmission is used to calculate the beamforming vector. The calculation of combining vector depends upon the maximum eigenvalue criterion. The analytical performance of the proposed method is discussed in terms of symbol error rate (SER). An expression of SER is derived by using the moment generating function approach. It is shown by simulations and analysis that the proposed scheme performs better if more antennas are equipped either at the transmitter or users.

关键词： MIMO communication error statistics array signal processing eigenvalues and eigenfunctions transmitting antennas diversity reception maximum eigenvalue criterion transmitter MIMO communication system combining method multiple-input multiple-output system beamforming vector distinct combining vector transmitted signal unwanted signals maximum ratio transmission multiuser large MIMO system symbol error rate moment generating function

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