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OPTIMAL linear precoding FOR OSTBC USING NOISY QUANTIZED FEEDBACK

OPTIMAL LINEAR PRECODING FOR OSTBC USING NOISY QUANTIZED FEE...

2009 IEEE International Conference on Communications Technology and Applications(2009年IEEE国际通信技术与应用大会 IEEE ICCTA2009)

作者： Tao Luo Hongbin Yang Jianfeng Li Yan Ma Lab of Wireless Communication Systems and Networks(WCSN) School of Information and communication Eng Lab of Wireless Communication Systems and Networks(WCSN) School of Information and communication Eng

ISBN: (纸本)9781424448166

Combining precoding and orthogonal space-time block codes (OSTBCs) can obtain full-diversity order and provide additional array gain. This paper proposes optimal linear precoding and quantization for OSTBCs with erroneous feedback. Lloyd algorithm is used for designing codebooks with noisy quantized feedback in general case. In two extreme cases, the transmitter can obtain perfect CSI and no CSI available, the optimal unquantized precoder for each case are presents and quantization scheme is analysed. The result shows that the quantized codebook proposed in this paper can obtain better performance compared to open loop systems when feedback link is erroneous

关键词： MIMO OSTBC linear precoding quantized feedback non-unitary design

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Diversity Analysis of Group Vector Perturbation precoding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2012年第10期58卷 6426-6432页

作者： Tosato, Filippo Sandell, Magnus Toshiba Res Europe Telecommun Res Lab Bristol BS1 4ND Avon England

We study the effect on diversity of using the sphere encoder-based vector perturbation (VP) technique of Peel et al. and the lattice reduction-aided techniques (Babai approximations) of Windpassinger et al. on a subset of the transmitted symbols. For a system with n diversity channels, we prove that the diversity order gap between the maximum diversity of n achieved by the full-size VP and the minimum diversity of 1 provided by linear precoding can be bridged by applying VP to a group of transmitted symbols. In particular, we prove that the diversity order is n - l, where l is the number of symbols that are not vector-perturbed. We show that this result holds true for lattice-reduction with both the rounding-off and nearest plane Babai approximations. The result shows that in terms of diversity, the group of vector-perturbed users counts as a single user. In fact, in a multiple-input and multiple-output Gaussian broadcast channel with l linearly precoded users, we can add up to n - l VP users and the diversity order for all users will decrease only by one, irrespective of how many VP users are added.

关键词： Diversity order lattice precoding linear precoding multiple-input multiple-output (MIMO) broadcast channel

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Cellular Downlink Performance with Covariance-CSIT-Based MIMO precoding

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WIRELESS PERSONAL COMMUNICATIONS 2012年第2期63卷 415-430页

作者： Wu, Kenneth Derham, Thomas Coupe, Patrice Orange Labs Shinjuku Ku Tokyo 1600022 Japan

The nature of the trade-off between reduced overhead of channel state information (CSI) and resultant performance losses influences the design of frequency-division duplexed practical cellular systems. One candidate for CSI feedback reduction is the use of covariance-matrix-based CSI at the transmitter (CSIT) in conjunction with linear precoding techniques. This paper analyzes the performance of such systems in the downlink for both single-user (SU-) and multiuser (MU-) multiple-input multiple output (MIMO) in comparison to those using optimal perfect-instantaneous-CSIT-based precoding. In addition, the effectiveness of techniques enforcing frequency domain diversity versus those based on the maximal ergodic channel capacity criterion is evaluated. A novel precoding scheme using covariance matrix information that supports spatial multiplexing in both SU- and MU-MIMO is proposed. Simulation results show that the spectral efficiency loss from covariance-CSIT-based techniques from those utilizing perfect, instantaneous CSIT is shown to be about 1 dB in a highly correlated urban channel environment for both SU- and MU-MIMO, whereas for microcell environments it is between 3 and 4 dB.

关键词： SU-MIMO MU-MIMO linear precoding Covariance CSIT

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On the Equivalence Between SLNR and MMSE precoding Schemes with Single-Antenna Receivers

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IEEE COMMUNICATIONS LETTERS 2012年第7期16卷 1034-1037页

作者： Patcharamaneepakorn, Piya Armour, Simon Doufexi, Angela Univ Bristol Ctr Commun Res Bristol BS8 1UB Avon England

This letter considers transmit precoding schemes based on the maximum signal-to-leakage-and-noise ratio (SLNR) in multiuser MIMO systems with single-antenna receivers. The closed-form solution of SLNR design is generally given in the form of the eigenvector associated to the maximum eigenvalue. In this letter, analytic expressions of SLNR-based solutions and resulting SLNR are derived for a generic power allocation (GPA). The solution is shown to be a function of user-allocated power and an arbitrary phase shift. Under equal power allocation (EPA), the SLNR precoding scheme is shown to be equivalent to the minimum mean square error (MMSE) precoding scheme. Several useful implications in terms of the possible extension of existing algorithms and performance analysis are also discussed.

关键词： Multiuser MIMO linear precoding SLNR MMSE performance analysis

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Spatial Resources Optimization in Distributed MIMO Networks with Limited Data Sharing

Spatial Resources Optimization in Distributed MIMO Networks ...

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IEEE Globecom Workshops

作者： Antonis G. Gotsis Angeliki Alexiou Department of Digital Systems University of Piraeus

ISBN: (纸本)9781479928521

Wireless access through a large distributed network of low-complexity infrastructure nodes empowered with cooperation and coordination capabilities, is an emerging radio architecture, candidate to deal with the mobile data capacity crunch. In the 3GPP evolutionary path, this is known as the Cloud-RAN paradigm for future radio. In such a complex network, distributed MIMO resources optimization is of paramount importance, in order to achieve capacity scaling. In this paper, we investigate effcient strategies towards optimizing the pairing of access nodes with users as well as linear precoding designs for providing fair QoS experience across the whole network, when data sharing is limited due to complexity and overhead constraints. We propose a method for obtaining a spatial resources allocation optimization solution which can be applied in networks of limited scale, as well as an approximation algorithm with bounded polynomial complexity which can be used in larger networks. The particular algorithm outperforms existing user-oriented clustering techniques and achieves quite high quality-of-service levels with reasonable complexity.

关键词： C-RAN Distributed MIMO Backhaul Overhead Minimization Pairing linear precoding MI-SOCP

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d_(min)-based precoder applied to non-binary LDPC coded MIMO system

d_(min)-based precoder applied to non-binary LDPC coded MIMO...

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International Conference on Communications and Information Technology

作者： Tarek Chehade Philippe Rostaing Ludovic Collin Emanuel Radoi Oussama Bazzi Universite Europeenne de Bretagne Lebanese University

ISBN: (纸本)9781467353069

In this paper, we present a transmission model for a multiple-input multiple-output (MIMO) channel with perfect channel state information (CSI). We intend to exploit the available CSI through the use of a precoder based on the minimum Euclidean distance (d_(min)) criterion. We also introduce a low density parity check coding block in order to improve the system performance. We consider a two-stream 4QAM-MIMO transmission scheme (4 bits per transmitted symbol vector) associated to a non-binary LDPC (NB-LDPC) code over GF(2~4). The addition of the precoder in this system is studied. Simulations are made in order to show the interest of the association of the d_(min)-based precoder with NB-LDPC codes, which is particularly well suited for LDPC codes with high rates.

关键词： Non-binary low density parity check (LDPC) codes linear precoding Minimum Euclidean distance Multiple-input multiple-output (MIMO) system Bit error rate (BER)

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linear precoding of unitary space-time code for GLRT decoder

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2008年第2期E91A卷 695-699页

作者： Guo, Yongliang Zhu, Shihua Liang, Zhonghua Xian Jiaotong Univ Dept Informat & Commun Engn Xian Peoples R China

For unitary space-time code (USTC), the impact of spatial correlation on error performance is investigated. A tighter and simpler upper bound is derived for generalized likelihood ratio test decoder. We establish that the spatial correlation does not change the diversity gain, whereas it degrades the error performance of USTC. Motivated by the precoding of space-time block code, we designed a precoder for USTC to handle the case of the joint transmit-receive correlation. Numerical results show that the degradation in performance due to spatial correlation can be considerably compensated by the proposed algorithm.

关键词： linear precoding pair-wise error probability generalized likelihood ratio test decoder unitary space-time code

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ZERO-FORCING PRE-EQUALIZATION WITH TRANSMIT ANTENNA SELECTION IN MIMO SYSTEMS

ZERO-FORCING PRE-EQUALIZATION WITH TRANSMIT ANTENNA SELECTIO...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Seyran Khademi Sundeep Prabhakar Chepuri Geert Leus Alle-Jan van der Veen Faculty of Electrical Engineering Mathematics and Computer Science TU Delft

ISBN: (纸本)9781479903573

In this paper, we jointly solve the problem of transmit antenna selection and zero-forcing (ZF) precoding in a multiple input multiple output (MIMO) system. A new problem formulation is proposed which enables efficient semi-definite programming (SDP) to solve the originally non-convex problem of antenna selection. This has been accomplished by imposing the Group Lasso sparsity promoting term in the precoding design criterium as a convex relaxation of the l_0-norm operation. For the selected set of antennas, we then minimize the overall transmit power, subject to a constraint on the maximum achievable throughput. Simulation results reveal the power saving advantage of the proposed algorithm compared to a randomly selected subset of antennas.

关键词： Multiple input multiple output (MIMO) linear precoding convex optimization antenna selection Group Lasso multiple input multiple output systems ANTENNA Transmitter power Convex function prediction coding Problem Formulation transmitting antennas

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Design of isotropic orthogonal transform algorithm-based multicarrier systems with blind channel estimation

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IET COMMUNICATIONS 2012年第16期6卷 2695-2704页

作者： Du, J. Xiao, P. Wu, J. Chen, Q. Royal Inst Technol KTH Sch Elect Engn SE-10044 Stockholm Sweden Univ Surrey Guildford CCSR Fac Engn & Phys Sci Surrey GU2 7XH England Alcatel Lucent Pudong Jinqiao Bell Labs Shanghai 201206 Peoples R China Southwest Jiaotong Univ Key Lab Informat Coding & Transmiss Chengdu 610031 Peoples R China

Orthogonal frequency division multiplexing (OFDM) technique has gained increasing popularity in both wired and wireless communication systems. However, in the conventional OFDM systems the insertion of a cyclic prefix (CP) and the transmission of periodic training sequences for purpose of channel estimation decrease the system's spectral efficiency. As an alternative to OFDM, isotropic orthogonal transform algorithm (IOTA)-based multicarrier system adopts a proper pulse shaping with good time and frequency localisation properties to avoid interference and maintain orthogonality in real field among sub-carriers without the use of CP. In this study, the authors propose linearly precoded IOTA-based multicarrier systems to achieve blind channel estimation by utilising the structure of auto-correlation and cross-correlation matrices introduced by precoding. The results show that the proposed IOTA-based multicarrier systems achieve better power and spectral efficiency compared with the conventional OFDM systems.

关键词： orthogonal frequency division multiplexing technique Electromagnetic compatibility and interference wireless communication system cyclic prefix insertion Signal processing and detection autocorrelation structure Codes precoding correlation methods blind channel estimation interference avoidance frequency localisation property cyclic codes linear precoding matrix algebra OFDM modulation channel estimation IOTA multicarrier system orthogonal codes periodic training sequence transmission Algebra CP insertion OFDM technique pulse shaping isotropic orthogonal transform algorithm- cross-correlation matrix wired communication system Communication channel equalisation and identification spectral efficiency interference suppression

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Globally Optimal Precoder Design with Finite-Alphabet Inputs for Cognitive Radio Networks

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2012年第10期30卷 1861-1874页

作者： Zeng, Weiliang Xiao, Chengshan Lu, Jianhua Ben Letaief, Khaled Tsinghua Univ TNList Dept Elect Engn Beijing 100084 Peoples R China Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Hong Kong Univ Sci & Technol Ctr Wireless Informat Technol Dept Elect & Comp Engn Kowloon Hong Kong Peoples R China

This paper investigates the linear precoder design for spectrum sharing in multi-antenna cognitive radio networks with finite-alphabet inputs. It formulates the precoding problem by maximizing the constellation-constrained mutual information between the secondary-user transmitter and secondary-user receiver while controlling the interference power to primary-user receivers. This formulation leads to a nonlinear and nonconvex problem, presenting a major barrier to obtain optimal solutions. This work proposes a global optimization algorithm, namely Branch-and-bound Aided Mutual Information Optimization (BAMIO), that solves the precoding problem with arbitrary prescribed tolerance. The BAMIO algorithm is designed based on two key observations: First, the precoding problem for spectrum sharing can be reformulated to a problem minimizing a function with bilinear terms over the intersection of multiple co-centered ellipsoids. Second, these bilinear terms can be relaxed by its convex and concave envelopes. In this way, a sequence of relaxed problems is solved over a shrinking feasible region until the tolerance is achieved. The BAMIO algorithm calculates the optimal precoder and the theoretical limit of the transmission rate for spectrum sharing scenarios. By tuning the prescribed tolerance of the solution, it provides a trade-off between desirable performance and computational complexity. Numerical examples show that the BAMIO algorithm offers near global optimal solution with only several iterations. They also verify that the large performance gain in mutual information achieved by the BAMIO algorithm also represents the large gain in the coded bit-error rate.

关键词： Cognitive radio spectrum sharing linear precoding finite-alphabet inputs mutual information maximization multiple-input multiple-output

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