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International Conference on Neural Networks and Signal Processing

作者： Geng, Xuan Jiang, Lingge He, Chen Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Shanghai Res Ctr Wirless Commun Shanghai 200050 Peoples R China

ISBN: (纸本)9781424423101

The Geometric Mean Decomposition (GMD) for MIMO channel matrix can obtain identical subbchannel gains, which is a useful property to improve performance gains of precoding. In this paper, we combine the vector precoding with GMD for channel matrix to design the transceiver for MIMO transmission system. Under the proposed transceiver structure, the minimum square error (MSE) of receive symbols are obtained. To minimize the MSE, two schemes in terms of perturbation vector are proposed. In the first scheme, the perturbation vector has only continuous values, thus it is regarded as interference for MSE. In the second scheme, the perturbation vector is generalized to have both continuous and discrete values, so it is partially dealt with as interference after modulo operation. In these two schemes, the optimum perturbation vectors are presented in MMSE criterion respectively.

关键词： vector precoding MIMO GMD

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Joint receive antenna selection for multi-user MIMO systems with vector precoding

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IEICE TRANSACTIONS ON COMMUNICATIONS 2008年第4期E91B卷 1176-1179页

作者： Miao, Wei Li, Yunzhou Zhou, Shidong Wang, Jing Xu, Xibin Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

vector precoding is a nonlinear broadcast precoding scheme in the downlink of multi-user MIMO systems which outperforms linear precoding and THP (Tomlinson-Harashima precoding). This letter discusses the problem of joint receive antenna selection in the multi-user MIMO downlink with vector precoding. Based on random matrix anal- ysis, we derive a simple heuristic selection criterion using singular value decomposition (SVD) and carry out an exhaustive search to determine for each user which receive antenna should be used. Simulation results reveal that receive antenna selection using our proposed criterion obtains the same diversity order as the optimal selection criterion.

关键词： MIMO broadcast channels vector precoding receive antenna selection singular value decomposition (SVD)

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A Reduced Complexity Quantization Error Correction Method for Lattice Reduction Aided vector precoding

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IEICE TRANSACTIONS ON COMMUNICATIONS 2009年第7期E92B卷 2525-2528页

作者： Geng, Xuan Jiang, Ling-ge He, Chen Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China

A reduced complexity quantization error correction method for lattice reduction aided, (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.

关键词： MIMO lattice reduction vector precoding quantization error correction

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Joint transceiver vector precoding based on GMD method for MIMO systems

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2009年第6期63卷 502-505页

作者： Liu, Feng Jiang, Lingge He, Chen Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

We heuristically propose a joint transceiver vector precoding (VP) based on geometric mean decomposition (GMD) method for multiple input multiple output (MIMO) systems. In fact, it is the generalization and improvement of the GMD transceiver with Tomlinson-Harashima precoding (THP). We first propose the GMD-VP design with zero forcing (ZF) criterion, then exploit the extended channel matrix to obtain the improved regularized scheme. Simulation results show that the proposed schemes obtain performance improvement and complexity reduction. (C) 2008 Elsevier GmbH. All rights reserved.

关键词： vector precoding GMD method MIMO systems

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HIGH-THROUGHPUT IMPLEMENTATION OF TREE-SEARCH ALGORITHMS FOR vector precoding

HIGH-THROUGHPUT IMPLEMENTATION OF TREE-SEARCH ALGORITHMS FOR...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Barrenechea, Maitane Barbero, Luis Jimenez, Idoia Arruti, Egoitz Mendicute, Mikel Univ Mondragon Dept Elect & Comp Sci Arrasate Mondragon Spain Queens Univ Belfast Inst Elect Commun & Informat Technol Belfast BT7 1NN Antrim North Ireland

ISBN: (纸本)9781457705397

This contribution analyzes the architecture design and FPGA implementation of high-throughput multiuser vector precoders. The most complex task of such precoders, i.e. the search of the perturbing vector over an infinite lattice, has been carried out by means of two tree-search algorithms: a novel fully-pipelined complex-valued K-Best scheme and a fixed-sphere encoder (FSE). Both designs have been implemented in a Virtex-6 device, leading to precoding throughputs of up to 2.4 Gbps with 16-QAM modulation.

关键词： vector precoding Implementation K-Best FSE

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Analysis of vector precoding at High SNR: Rate Bounds and Ergodic Results

Analysis of Vector Precoding at High SNR: Rate Bounds and Er...

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IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Barrenechea, Maitane Joham, Michael Mendicute, Mikel Utschick, Wolfgang Univ Mondragon Dept Elect & Comp Sci Arrasate Mondragon 20500 Spain Tech Univ Munich Assoc Inst Signal Proc D-80920 Munich Germany

ISBN: (纸本)9781424456383

Besides the optimal but impractically complex dirty paper coding (DPC), linear precoding and vector precoding (VP) have been proposed for the vector broadcast channel (BC). Linear precoding is simple, as only a linear transform is applied to the data signals, whereas VP necessitates a closest-point search in a lattice to find the perturbation signal which reduces the necessary transmit power. In this paper, we analyze the high signal-to-noise-ratio (SNR) performance of VP assuming optimal decoding. As the perturbation process hinders the analytical assessment of the VP performance, lower and upper bounds on the expected data rate of VP systems are reviewed and proposed. Based on these bounds, VP is compared to linear precoding w.r.t. the weighted sum rate, the power resulting from a quality of service (QoS) formulation, and the performance when balancing the rates.

关键词： broadcast channels decoding encoding optimal decoding perturbation process quality of service rate bound signal-to-noise ratio performance vector broadcast channel vector precoding weighted sum rate

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COMPLEXITY REDUCTION FOR vector precoding USING QOS REQUIREMENTS

COMPLEXITY REDUCTION FOR VECTOR PRECODING USING QOS REQUIREM...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Masouros, Christos Ratnarajah, Tharm Sellathurai, Mathini UCL Dept Elect & Elect Eng London England Univ Edinburgh Sch Engn Edinburgh Midlothian Scotland Heriot Watt Univ Sch Engn & Phys Sci Edinburgh Midlothian Scotland

ISBN: (纸本)9781479903566

We propose a low-complexity vector precoding (VP) scheme for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. Instead of performing a full sphere search to maximize the receive signal to noise ratio (SNR), the search for the perturbation vectors finishes once a threshold SNR value is reached, thus saving significant computational burden at the transmitter. This threshold is determined by the quality of service (QoS) requirements of the mobile users. To evaluate the advantages of the proposed technique compared to VP, we analytically calculate its computational complexity in terms of the volume of the associated search space. The results show that the proposed thresholded VP (TVP) offers a significantly reduced complexity compared to VP.

关键词： vector precoding sphere encoding complexity reduction multi-user MIMO non-linear precoding

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On vector Perturbation precoding for the MIMO Gaussian Broadcast Channel

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IEEE TRANSACTIONS ON INFORMATION THEORY 2015年第11期61卷 5999-6027页

作者： Avner, Yuval Zaidel, Benjamin M. Shamai (Shitz), Shlomo Bar Ilan Univ Fac Engn IL-52900 Ramat Gan Israel Technion Israel Inst Technol Dept Elect Engn IL-32000 Haifa Israel

precoding schemes in the framework of vector perturbation (VP) for the multiple-input multiple-output (MIMO) Gaussian broadcast channel (GBC) are investigated. The VP scheme, originally a "one-shot" technique, is generalized to encompass processing over multiple time instances. Using lattice-based extended alphabets ("perturbations"), and considering the infinite time-span extension limit, a lower bound on the achievable sum-rate using the generalized VP scheme is analytically obtained. The lower bound is shown to asymptotically achieve the optimum sum-rate in the high signal-to-noise ratio (SNR) regime (both in terms of degrees-of-freedom and power offset), for any number of users and transmit antennas. For the two-user cases, it is shown that the lower bound coincides with the sum-capacity for low SNR. The above lower bound is constructively obtained by means of an efficient practically oriented suboptimal transmit energy minimization algorithm, which exhibits a polynomial complexity in the number of users. The proposed precoding scheme demonstrates that the "shaping gain" is achievable for VP schemes, when employing "good" multidimensional lattices. It is also shown that the suboptimum algorithm has its merits, even when processing over multiple time instances is not employed. For the 2 x 2 MIMO GBC, the VP scheme is generalized further, and an inner bound for the entire achievable rate region is obtained, by which an interesting correspondence is identified with the ultimate capacity region, as obtained by "dirty paper coding".

关键词： Multiple-input multiple-output vector precoding Gaussian broadcast channel

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COMPLEXITY REDUCTION FOR vector precoding USING QOS REQUIREMENTS

COMPLEXITY REDUCTION FOR VECTOR PRECODING USING QOS REQUIREM...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Christos Masouros Tharm Ratmrajah Mathmi Sellathurai Dept. of Electrical & Electronic Eng. University College London London UK School of Engineering University of Edinburgh Edinburgh UK School of Eng. and Physical Sciences Herriot Watt University Edinburgh UK

ISBN: (纸本)9781479903573

关键词： vector precoding sphere encoding complexity reduction multi-user MIMO non-linear precoding

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Low Complexity vector precoding for Fast Fading MIMO Downlinks

Low Complexity Vector Precoding for Fast Fading MIMO Downlin...

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IEEE Global Communications Conference

作者： Christos Masouros Mathini Sellathurai Tharm Ratnarajah Dep. of Electrical & Electronic Eng. University College London London UK School of Eng. and Physical Sciences Herriot Watt University Edinburgh UK School of Engineering University of Edinburgh Edinburgh UK

ISBN: (纸本)9781479913510

vector precoding (VP) requires the feed-forwarding of the transmit scaling factor to the receiver for correct detection. This can be problematic in fast fading scenarios where the statistics of the scaling factor change frequently and in limited feedback scenarios where the feed-forwarding to the receiver is prone to quantization errors. In response to this, a new VP scheme is proposed for the downlink of multi-user multiple input multiple output (MU-MIMO) systems with limited feedback. The proposed VP circumvents the need for receive-scaling by constraining the search of perturbing vectors to the area in the symbol constellation which is constrictive to the information symbols, i.e. the area where the distances from the decision thresholds are increased with respect to a distance threshold. By doing this, the perturbation quantities need not be removed at the receiver and successful detection can be done without the use of the modulo operation and the scaling factor. In addition, instead of a computationally expensive sphere search used in conventional VP, the proposed scheme uses a MinMax Optimization to select the perturbation quantities. As illustrated by the analysis and results, the error floor encountered in conventional VP in limited feedback scenarios is avoided in the proposed scheme.

关键词： vector precoding limited feedback multi-user MIMO non-linear precoding Scale factor multiple input multiple output systems fast fading Receivers multi-user prediction coding Threshold error floor Cloning vectors Quantization Feedback

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