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检索条件"主题词=Multiple-input Multiple-output Systems"

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Joint Compensation of multiple RF Impairments in MIMO STBC systems

Joint Compensation of Multiple RF Impairments in MIMO STBC S...

引用

22nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Qi, Jian Aissa, Sonia King Abdullah Univ Sci & Technol KAUST Thuwal Saudi Arabia

ISBN: (纸本)9781457713484

In this paper, we propose a compensation method for the joint effect of high-power amplifier (HPA) nonlinearity, in-phase/quadrature-phase (I/Q) imbalance and crosstalk in multiple-input multiple-output (MIMO) orthogonal space-time block coding (OSTBC) systems. The performance of the MIMO OSTBC equipped with the proposed compensation mechanism is evaluated in terms of average symbol error probability and system capacity, in Rayleigh fading channels. Numerical results are provided and show the effects on performance of several system parameters, namely, the HPA parameters, image-leakage ratio, crosstalk, numbers of antennas, and phase-shift keying modulation order.

关键词： Crosstalk Fading HPA parameters MIMO MIMO OSTBC systems MIMO communication Radio frequency Rayleigh channels Rayleigh fading channels Receiving antennas Signal to noise ratio Upper bound antenna arrays average symbol error probability channel capacity channel coding compensation crosstalk crosstalk error statistics high-power amplifier nonlinearity image-leakage ratio in-phase-quadrature-phase imbalance multiple RF impairment joint compensation method multiple-input multiple-output systems orthogonal codes orthogonal space-time block coding systems phase shift keying phase-shift keying modulation order power amplifiers space-time block codes system capacity

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Updated Basis Lattice Reduction based Sequential User Selection for Multiuser MIMO systems

Updated Basis Lattice Reduction based Sequential User Select...

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IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Bai, Lin Chen, Chen Choi, Jinho Ling, Cong Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Swansea Univ Sch Engn Swansea W Glam Wales Imperial Col Dept Elect & Elect Engn London ON Canada

ISBN: (纸本)9781424456383

In this paper, we derive user selection criteria based on the error probability for an actually employed detector for multiuser multiple-input multiple-output (MIMO) systems. We propose a low complexity sequential user selection scheme when a lattice reduction (LR) based MIMO detector is used. We also analyze the diversity gain for combinatorial user selection approaches with a given LR-based detector. From simulation results, we can confirm that the proposed sequential user selection approach can provide a comparable performance to the combinatorial ones with much lower complexity.

关键词： MIMO communication basis lattice reduction diversity gain multiple-input multiple-output systems multiuser MIMO systems sequential user selection

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A Comprehensive Survey on Beamforming and Antenna Selection in MIMO systems using Deep Learning and Machine Learning Techniques with Future Research Directions 2

A Comprehensive Survey on Beamforming and Antenna Selection ...

引用

2nd IEEE World Conference on Communication and Computing (WCONF)

作者： Kavitha, K. R. Sivakumar, T. Sona Coll Technol Dept ECE Salem 636005 Tamil Nadu India

ISBN: (纸本)9798350395334;9798350395327

In recent times, the research community has shown significant interest in "Millimeter Wave (mmWave)" communication. Specifically, within the context of "Fifth Generation (5G) wireless networks", mmWave "Massive multiple-input multiple-output (MIMO)" communications are implemented using hybrid transceivers. In this survey, machine structure algorithms have been raised as trustable solutions over the past decennary. These algorithms offer the potential to tackle complex optimization problems within MIMO systems effectively. This review explains the recent modern deep structure and machine learning applications in the broad field of beamforming. The efficiency of wireless transmission is done by modifying the strength of the signal. Here, the brief introduction to the vector quantity of Beamforming and the selection of antenna in the MIMO sector and its existing literature works are presented elaborately. This review helps readers to understand the latest deep learning and machine learning technologies used for beamforming in MIMO systems. A detailed description from various perspectives on the antenna structures like "phased array antennas" and diversity antennas and several Beamforming learning methodologies are analyzed. Further, it offers better future research guidance to fulfill the development requirements of flexible antennas for upcoming wireless fidelity.

关键词： Beamforming and Antenna Selection Techniques multiple-input multiple-output systems Millimeter Wave Machine Learning Deep structure Future Research Directions

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Zero-Forcing approach for L2-Orthogonal ST-Codes with CPM-OFDM schemes and frequency selective Rayleigh fading channels 33

Zero-Forcing approach for L2-Orthogonal ST-Codes with CPM-OF...

引用

33rd Annual IEEE Military Communications Conference on Affordable Mission Success - Meeting the Challenge (MILCOM)

作者： Hisojo, Miguel Angel Lebrun, Jerome Deneire, Luc Univ Nice Sophia Antipolis I3S Lab CNRS Nice France

ISBN: (纸本)9781479967704

Orthogonal Space-Time Block Codes (STBC) with multiple-input multiple-output (MIMO) systems have become a very popular way of adding spatial diversity to transmissions. Orthogonal Frequency Division multiplexing (OFDM) is a modulation technique to further increase the robustness against frequency selective fading at high data rates. Some authors have then proposed to combine both: linear STBC codes with OFDM;however, with a major weakness: high Peak to Average Power Ratio (PAPR). Using instead Continuous Phase Modulation (CPM) to get constant envelope signals to reduce PAPR, CPM-OFDM can take advantage of a favorable trade-off between power and bandwidth efficiency given by CPM with the well-known robustness to frequency selective fading of OFDM. To further increase the data throughput, while maintaining robustness to frequency selective fading and low PAPR, we introduce here a new space-time-frequency diversity technique based on MIMO OFDM using L2-orthogonal multi-h CPM STBC codes. We benchmark these schemes under Rayleigh frequency selective channels with semi-coherent detection and show how they achieve improved spectral compactness while providing a low decoding complexity by the use of a simplified Zero-Forcing (ZF) detection/ correlation algorithm.

关键词： MIMO communication OFDM modulation Rayleigh channels continuous phase modulation correlation methods decoding diversity reception signal detection space-time block codes CPM-OFDM L2-orthogonal multi-h CPMSTBC codes MIMO OFDM MIMO systems PAPR Rayleigh frequency selective channels constant envelope signals frequency selective fading linear STBC codes multiple-input multiple-output systems orthogonal frequency division multiplexing orthogonal space-time block codes peak to average power ratio semicoherent detection space-time-frequency diversity technique spatial diversity zero-forcing detection-correlation algorithm Decoding Fading MIMO Modulation Peak to average power ratio Transmitting antennas Peak to average power ratio multiple input multiple output systems Orthogonal frequency division multiplexing continuous phase modulation selective fading space time block coding DECODING Raleigh fading channels spatial diversity transmitting antennas MIMO communication correlation methods diversity reception signal acquisition fading color

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Precoder Design and Convergence Analysis of MIMO systems With Krylov Subspace Receivers

Precoder Design and Convergence Analysis of MIMO Systems Wit...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Tong, Jun Schreier, Peter J. Weller, Steven R. Univ Paderborn Signal & Syst Theory Grp Paderborn Germany Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW 2308 Australia

ISBN: (纸本)9781457705953

This paper studies the design and analysis of large multiple-input multiple-output (MIMO) systems with linear precoding and Krylov subspace receivers. We design precoders that can improve performance with low-rank receivers. We then introduce a tool based on potential theory to analyze the convergence behavior of the mean-squared error (MSE). The effectiveness of the proposed precoder and the superexponential convergence of the MSE are demonstrated(1).

关键词： Complexity theory Convergence Eigenvalues and eigenfunctions Frequency modulation Krylov subspace receivers Limiting MIMO MIMO communication MIMO systems MSE Receivers convergence convergence analysis linear codes linear precoding low-rank receivers mean square error methods mean-squared error multiple-input multiple-output systems precoder design precoding radio receivers superexponential convergence

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On Opportunistic Power Control for MIMO-OFDM systems

On Opportunistic Power Control for MIMO-OFDM Systems

引用

Globecom Workshops

作者： Reider, Norbert Fodor, Gabor Budapest Univ Technol & Econ Dept Telecommun & Media Informat Budapest Hungary Ericsson Res SE-16480 Stockholm Sweden

ISBN: (纸本)9781424488650

When fast and accurate channel state information (CSI) at the transmitter is available, opportunistic power control (OPC) is an attractive alternative to signal-to-interference-and-noise ratio (SINR) target following approaches, because it maximizes throughput by taking advantage of fast channel variations. On the other hand, in multiple-input multiple-output (MIMO) systems, open loop schemes such as Alamouti space time coding and spatial multiplexing (SM) exploit channel diversity without accurate CSI. In an attempt to answer the question whether OPC is worth the pain of obtaining fast CSI, in this paper we evaluate the gains of OPC for the downlink of a system employing MIMO with Alamouti and SM. We formulate the OPC problem as a throughput maximization task subject to a power budget and fairness constraints. We solve this task by the Augmented Lagrangian Penalty Function (ALPF) and find that without fairness constraints, OPC in concert with SM provides superior throughput. With tight fairness constraint, Alamouti along with equal power allocation becomes a viable alternative to the SM OPC scheme.

关键词： Alamouti space time coding MIMO communication MIMO-OFDM systems OFDM modulation augmented Lagrangian penalty function channel diversity channel state information diversity reception fairness constraints multiple-input multiple-output systems open loop ope

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Training Design for BICM-MIMO systems in Block-Fading Channels

Training Design for BICM-MIMO Systems in Block-Fading Channe...

引用

54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Andalibi, Zohreh Nguyen, Ha H. Salt, J. Eric Univ Saskatchewan Dept Elect & Comp Engn TRLabs Saskatoon SK Canada

ISBN: (纸本)9781424492688

In order to improve bandwidth efficiency and bit error rate (BER) performance, a new training scheme is proposed for bit-interleaved coded modulation in multiple-input multiple-output (BICM-MIMO) systems. Typically, in a block fading channel, the training overhead used for obtaining channel knowledge is proportional to a power of two of the number of transmit antennas. However, this overhead can be reduced by embedding pilot symbols within data symbols before precoding. The values and positions of pilot symbols are theoretically found by minimizing the Cramer-Rao bound (CRB) on channel estimation error. Computer simulations are presented to demonstrate the advantage of the proposed scheme over other training methods, in terms of both the mean square error (MSE) of the channel estimation and the system's BER.

关键词： BER performance BICM-MIMO systems Bit error rate CRB Channel estimation Cramer-Rao bound Demodulation MIMO MIMO communication MSE Quadrature amplitude modulation Training Vectors antenna arrays bit error rate performance bit-interleaved coded modulation block-fading channels channel coding channel estimation channel estimation error computer simulations data symbols embedding pilot symbols error statistics fading channels interleaved codes mean square error mean square error methods modulation coding multiple-input multiple-output systems transmit antennas transmitting antennas

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A New Iterative Estimation Procedure for the Localization of Passive Stationary Objects from Received RF Signals in Indoor Environments 90

A New Iterative Estimation Procedure for the Localization of...

引用

90th IEEE Vehicular Technology Conference (IEEE VTC-Fall)

作者： Hicheri, Rym Patzold, Matthias Univ Agder Fac Engn & Sci NO-4898 Grimstad Norway

ISBN: (纸本)9781728112206

This paper deals with the localization of passive stationary objects from the received radio-frequency (RF) signals in 3-dimensional (3D) indoor environments. Each object located in the 3D indoor environment is modelled by a single point scatterer. The propagation space is equipped with a multiple-input multiple-output (MIMO) wireless communication system. The employed channel model is flexible and allows to have a line-of-sight (LOS) component as well as single- and double-bounce scattering components. Here, we present a new accurate iterative estimation technique for computing the optimal coordinates as well as the number of the main stationary objects (scatterers) in indoor areas. The proposed approach aims at matching the frequency correlation function (FCF) of the transfer function (TF) of the received RF signals to the FCF of the channel model. This iterative procedure is based on numerical optimization techniques to estimate the number and coordinates of the scatterers and the channel parameters by minimizing the Euclidean norm of the fitting error. Numerical results are presented to confirm the accuracy of the proposed estimation procedure by comparing the estimated positions as well as the resulting FCF with the corresponding exact quantities, known from generated RF signals.

关键词： Object localization iterative estimation technique stationary channels indoor environments RF signals multiple-input multiple-output systems

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Performance Evaluation of a 3D Ray Tracing Model in Urban Environment

Performance Evaluation of a 3D Ray Tracing Model in Urban En...

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2010 IEEE International Symposium Antennas and Propagation/CNC-USNC/URSI Radio Science Meeting

作者： Moghrani, R. Conrat, J. M. Begaud, X. Huyart, B. Orange Labs 6 Ave Usines F-90000 Belfort France Telecom Paris Tech CNRS LTCI UMR 5141 F-75013 Paris France

ISBN: (纸本)9781424449682

During the last years, multiple-input multiple-output (MIMO) and OFDM systems emerged as a solution for the high data link in radio communication. The performances of these systems depend not only on the propagation channel path loss but also on the delay and the angular spread of the channel impulse response [1]. Ray-tracing or ray-launching models have the advantage to predict all channel large-scale parameters coherently. Thus, these models may be implemented in future wireless engineering software package.

关键词： 3D ray tracing model MIMO MIMO communication OFDM modulation OFDM systems channel impulse response high data link multiple-input multiple-output systems propagation channel radio communication radiocommunication ray tracing ray-launching models urban environment wireless engineering software package

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Optimization of delay diversity for decision-feedback equalization

Optimization of delay diversity for decision-feedback equali...

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15th IEEE International Symposium on Personal, Indoor, Mobile, Radio Communications (PIMRC 2004)

作者： Yiu, S Schober, R Gerstacker, W Univ British Columbia Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)0780385233

In this paper, we optimize delay diversity (DD) for the case when computationally efficient decision-feedback equalization (DFE) is used at the receiver. We consider the general case of transmission over a cor-related multiple-input multiple-output (MIMO) frequency-selective fading channel. The proposed optimization requires the knowledge of the statistical properties of the wireless channel at the transmitter, but channel state information is only required at the receiver side. Based on an approximation of the pairwise error probability for DFE, we derive a stochastic gradient algorithm that allows us to optimize the DD transmit filters. Simulation results for the GSM/EDGE system show significant performance gains of the proposed optimized DD scheme over the DD schemes reported in [I] and [2], respectively, if DFE is used at the receiver.

关键词： delay diversity decision-feedback equalization frequency-selective fading channel multiple-input multiple-output systems stochastic gradient algorithm

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