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Minimum Interfering Power Based on Interference Matrix Reconstruction for IA

Minimum Interfering Power Based on Interference Matrix Recon...

引用

World Congress on Intelligent Control and Automation

作者： Xueying Diao Yibing Li Dandan Liu College of Information and Communication Engineering Harbin Engineering University Heilongjiang Province Harbin China Coal Technology Engineering Group Chongqing Research Institute No.55 Shangqiaosancun 40037 Chongqing China

ISBN: (纸本)9781467384155

Interference alignment (IA) is a promising interference management technique to efficiently improve the degrees of freedom and system capacity in a K-user interference network. The existence of the interference channel (IC) is the main reason why communication system is interference limited. However, in most cases, transmission performance of interference sub-channels has remarkable differences. Existing IA schemes ignore the information of IC, resulting in limiting the performance of IA. Thus, this paper proposes an improved scheme, that is, minimum interfering power based on interference matrix reconstruction for IA. We firstly choose the influential sub-channels via comparing the interfering singular value with a predefined threshold, and then we target the interfering power minimization to achieve the IA solution. As the interfering power can be expressed as the trace of interfering matrix and we have known the Frobenius norm is less than or equal to the nuclear norm, we change the optimization function above into a nuclear norm optimization problem. Compared with existing schemes, the novel approach takes the influential interfering sub-channels into consideration, which makes the optimization process more pertinent and further eliminates interference at each receiver. Besides, proposed scheme can achieve the global optimal solution by utilizing nuclear norm optimization. Simulation results show the proposed algorithm outperforms previous approaches for improving the system capacity.

关键词： Interference Optimization Receivers Minimization Precoding Matrix decomposition Signal to noise ratio INFORMATION ASSURANCE signal to noise ratios matrix decomposition interference Receivers prediction coding interference system capacity Euclidean matrix norm

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Blind Channel Estimator for MIMO-OFDM Systems Based on Linear Non-redundant Precoding

Blind Channel Estimator for MIMO-OFDM Systems Based on Linea...

引用

2005年无线通信、网络和移动计算国际会议

作者： Jianxin Guo Lei Jiang Yanxin Gou Xiangru Meng Telecommunication Engineering Institute Air Force Engineering University Xi'an China

ISBN: (纸本)078039335X

In this paper, a blind channel estimator, which is based on linear non-redundant precoding and second-order statistics, is proposed for space time block (STBC) coded MIMO-OFDM systems. According to the complex orthogonal properties of the STBCs, the channel estimate with a scalar ambiguity can be obtained through a series of simple linear transformation. Simulation results show that the proposed scheme can track the time-varying channel state well and thus improve the system performance when the number of the statistical data is properly chosen.

关键词： prediction coding time-varying channels System performance Statistical Data MIMO nonlinear systems multiple input multiple output systems space time block coding linear transformations

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Genetic Algorithm Optimization for Codewords Correction in MIMO Broadcast Channels

Genetic Algorithm Optimization for Codewords Correction in M...

引用

IEEE International Midwest Symposium on Circuits and Systems

作者： Mouncef Benmimoune Daniel Massicotte Sebastien Roy Electrical and Computer Engineering Department Universite du Quebec a Trois-Rivieres Laval University

ISBN: (纸本)9781467325264

This paper presents a novel precoding approach for MIMO broadcast channels, in which is performed on both sides of the wireless link. The aim of the proposed approach is to avoid the same precoding vectors choice when all users use a common codebook. In the proposal approach, firstly, we focus on the brute codeword selection at the transmitter side, thus there is zero probability to choose the same vector for more than one user. However, this solution leads an exhaustive search, especially when the number of user and the codebook size increase. To overcome this issue, secondly, we adopt the genetic algorithm in order to reduce the codeword search complexity. Compared with zero-forcing beamforming (ZFBF), the conducted simulation results for the critical scenario of low SNR, show that our scheme is better than ZFBF with the assumption of both perfect and partial channel state information at the transmitter.

关键词： broadcast channels algorithm optimization Genetic Algorithm (GA) Channel state information multiple input multiple output systems Transmitters codeword codebook low SNR prediction coding exhaustive search Consumers Transmitter

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Tri-plane Representation and Analysis in Transform coding

Tri-plane Representation and Analysis in Transform Coding

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2013 AASRI Winter International Conference on Engineering and Technology(AASRI-WIET 2013)

作者： Feifei Zhou Rui Yang Bo Li Beijing Key Laboratory of Digital Media School of Computer Science and EngineeringBeihang University

Representation and coding of transform coefficients is a key factor in image *** this work,we introduce a coefficient representation model,called *** proposed method is able to bring more kinds of symbols and significance states,which deeply develops the correlations among transform *** utilizing new symbols and states,more precise classification can be achieved,which directly determines the prediction coding *** results show that tri-plane representation outperforms the traditional bit-plane form in entropy,which removes more redundancy among coefficients and obtains more potential to improve coding *** hope this work would motivate more research and application work along this direction.

关键词： Tri-plane representation Bit-plane prediction coding Image compression Transform coefficients

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Sum rate maximization model of non-regenerative multi-stream multi-pair multi-relay network

Sum rate maximization model of non-regenerative multi-stream...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： C. Sun E. A. Jorswieck Sch. of Sci. Beijing Univ. of Posts & Telecommun. Beijing China

ISBN: (纸本)9781467369985

We consider the general MIMO relay network with K user pairs and R relays. The model to maximize the total signal to total interference plus noise ratio, with individual relay transmit power constraints, is set up. We constrain the precoding matrices to have orthogonal columns to guarantee multiple stream transmission. By alternating iteration method, we decompose the problem into several subproblems. For the precoding subproblem, which is a nonconvex matrix optimization problem, we apply the projected gradient method to its dual problem and prove there is zero duality gap between the primal and the dual problems. Simulation results show our proposed multiple stream model is efficient to achieve high sum rate and outperform the existing model in medium to high SNR scenarios.

关键词： MIMO relay multiple stream transmission projected gradient sum rate maximization zero duality gap Relay networks prediction coding sums relay signal to noise ratios Multiple packet transmission high SNR streams

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Implementation of the SVD-based precoding sub-system for the compressed beamforming weights feedback in IEEE 802.11n/ac WLAN

Implementation of the SVD-based precoding sub-system for the...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Y. C. Lin T. H. Liu C. P. Chou Y. S. Chu Nat. Chung Cheng Univ. Chiayi Taiwan

ISBN: (纸本)9781467369985

The compressed beamforming weights feedback is used in the precoded MIMO-OFDM system, e.g., IEEE 802.11n/ac WLAN, to reduce the amount of feedback information. The precoded sub-system at the receiver of this system needs to perform singular value decomposition (SVD) on the estimated channel matrices at all sub-carriers. The computed angles of the right singular vectors are to be feedback to the transmitter. Also the computed singular values and left singular vectors are to be used for designing the optimal detector. Under the exemplary scenario of four antennas at the access point and two antennas at the station, our designed architectures for the precoding sub-system can provide SVD throughput rates 16.8 and 50.4 M matrices/sec for the uplink and downlink transmissions, respectively.

关键词： multiple input multiple output (MIMO) system precoded MIMO system singular value decomposition Singular value decomposition feedback information access points Feedback prediction coding wireless local area network (WLAN) Beamforming INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS up link Singular Swine vesicular disease Building design COMPRESSED downlinking

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Weighted MMSE Tomlinson-Harashima Precoding for ***

引用

IEEE Global Communications Conference

作者： Andreas Barthelme Rainer Strobel Michael Joham Wolfgang Utschick Fachgebiet Methoden der Signalverarbeitung Technische Universitat Munchen

ISBN: (纸本)9781509013296

Recently, ITU finished its standard for ***, utilized in so called fiber-to-the-distribution-point (FTTdp) networks, where only the last meters from the fiber link to the customer are bridged by existing copper wires. The target is to increase the data rate over the short copper link up to 1 Gbit/s, which is an increase by the factor of ten compared to VDSL2, by extending the frequency band up to 212 MHz. At higher frequencies, the crosstalk between the lines is amplified, which makes crosstalk management essential to obtain the targeted data rates. Tomlinson-Harashima Precoding (THP) is a non-linear precoding technique, which is considered for the 212 MHz *** systems. Up to now, linear zero-forcing (ZF) and weighted minimum mean-square-error (WMMSE) precoding, as well as ZF THP, have been investigated for ***. In this paper, we show how WMMSE THP can be utilized in this scenario. We show that WMMSE THP outperforms ZF THP in terms of achievable rate in large systems. However, we see that the rate gain is not significant, although the WMMSE THP solution almost achieves the channel capacity.

关键词： pirarubicin prediction coding fiber optic link Data transfer rates Channel capacity zero frequency Frequency bands

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Bi-directional Training with Rank Optimization and Fairness Control

Bi-directional Training with Rank Optimization and Fairness ...

引用

IEEE Vehicular Technology Conference

作者： Hao Zhou Jialing Liu Qian Cheng Diana Maamari Weimin Xiao Anthony C.K. Soong Dept. of EECS Northwestern Univ. USA Huawei Wireless Res. & Standards USA

ISBN: (纸本)9781538663592;9781538663585

The fifth-generation (5G) wireless communication system is expected to provide increasing throughput with advanced transmitting and receiving techniques. This paper considers the problem of maximizing the downlink data rate in a multi-cell system by jointly designing transceiver filters, transmission ranks, and user associations. The base stations (BSs) are equipped with massive multiple-input multiple-output (MIMO) antennas, and can cooperatively serve the user equipments (UEs) in the network. A global optimization problem is formulated to maximize the downlink weighted sum rate (WSR). We first propose a centralized solution by assuming the existence of a central controller and global channel state information (CSI). We use the re-weighted l_1 method to approximate the problem, and then solve it using the fractional programming (FP) algorithm. Since the centralized algorithm only requires local channel and signal information, we decompose it and propose a distributed algorithm based on the idea of bi-directional training (BIT). By iterative uplink and downlink training, the precoders, receivers, and transmission ranks are adaptively optimized without explicit channel estimation. An uplink power control scheme is proposed to improve the fairness among the UEs. Simulation results are presented to evaluate the performance of proposed algorithms.

关键词： 5G mobile communication antenna arrays approximation theory array signal processing cellular radio centralised control distributed algorithms iterative methods MIMO communication mobile antennas optimisation power control precoding telecommunication contr INTEGRATED SHIP CONTROL distributed algorithms Mobile antennas MIMO communication cellular radio array signal processing Approximation Theory prediction coding Antenna arrays iterative methods Power control

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Matrix Normalization Based ZF Hybrid Precoded Multi-User MIMO mmWave Systems with Massive Array

Matrix Normalization Based ZF Hybrid Precoded Multi-User MIM...

引用

IEEE Vehicular Technology Conference

作者： Hang Li Thomas Q. Wang Xiaojing Huang Y. Jay Guo University of Technology Global Big Data Technologies Center (GBDTC) Sydney Australia

ISBN: (纸本)9781538663592;9781538663585

The superiority of exploring millimeter wave (mmWave) frequencies for future wireless communication systems has pushed forward the development of large-scale antenna arrays for achieving sufficient array gain and high spectral efficiency. In this paper, we study the matrix normalization (MN) based zero-forcing (ZF) hybrid precoding in multi-user multi-input-multi-output (MU-MIMO) mmWave systems. We derive the upper bounds of the achievable rate for two representative hybrid array structures, i.e., fully-connected structure and partially-connected structure. Analytical and simulation results validate the tightness of the proposed performance upper bounds for both hybrid structures using massive array, and provide a comparison of the achievable rate using MN and vector normalization (VN).

关键词： matrix algebra millimetre wave antenna arrays millimetre wave communication MIMO communication multi-access systems precoding vectors wireless channels millimetre wave antenna arrays Multi access systems MIMO communication prediction coding wireless channels matrix algebra Wireless communication systems zero frequency Upper bound manganese normalization

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A General Framework for MIMO Uplink and Downlink Transmissions in 5G Multiple Access

A General Framework for MIMO Uplink and Downlink Transmissio...

引用

IEEE Vehicular Technology Conference

作者： Zheng Ma Zhiguo Ding Pingzhi Fan Siyang Tang Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Department of Communication Systems Lancaster University

ISBN: (纸本)9781509016990

In this paper, a general framework of the multiple-input multiple-output (MIMO) transceiver design for 5G multiple access (5GMA), including both non-orthogonal multiple access (NOMA) and sparsity code multiple access (SCMA), is developed to enhance the system throughput of next generation of communication systems. By applying generalized singular value decomposition (GSVD), MIMO channels can be decomposed into multiple single-input single-output (SISO) channels, to which the concept of NOMA and SCMA can ideally be applied. GSVD based precoding is proposed to both uplink and downlink 5GMA transmissions, and simulation results are provided to demonstrate the performance of the proposed schemes.

关键词： multiple access multiple input multiple output systems up link Transmissions transmission Downlink prediction coding COMMUNICATION SYSTEMS Noma

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