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Low-complexity MMSE-based integrated equalisation for MIMO systems with HARQ

ELECTRONICS LETTERS 2017年第16期53卷 1154-1155页

作者： Park, S. Wonkwang Univ Dept Informat & Commun Engn Iksan South Korea

Low-complexity minimum-mean-square error (MMSE)-based integrated equalisation (IEQ) for multiple-input multiple-output (MIMO) systems with hybrid automatic repeat request (HARQ) is proposed. In the proposed MMSE-based IEQ, the calculations of the MMSE filtering vector for each symbol in the conventional MMSE-based IEQ are newly derived in a simplified form. This not only allows the proposed IEQ to have the same MMSE filtering vector to the conventional IEQ but it also allows the matrix size to be inverted and the number of matrix inversions are also significantly decreased. Therefore, without sacrificing the error performance, the proposed IEQ requires a significantly lower computational complexity than the conventional IEQ as the number of inputs increases. Furthermore, the proposed IEQ can outperform the MMSE-based iterative equalisation with the log-likelihood ratio-level combining in terms of both error performance and computational complexity.

关键词： Protocols Interpolation and function approximation (numerical analysis) low-complexity minimum-mean-square error-based integrated equalisation MMSE filtering vector filtering theory multiple-input multiple-output systems hybrid automatic repeat request matrix size matrix inversions low-complexity MMSE-based integrated equalisation HARQ log-likelihood ratio-level MIMO communication MMSE-based IEQ automatic repeat request Linear algebra (numerical analysis) Communication channel equalisation and identification error performance MIMO systems Filtering methods in signal processing equalisers matrix inversion vectors Radio links and equipment computational complexity least mean squares methods

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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...

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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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Area- and Throughput-Optimized VLSI Architecture of Sphere Decoding

Area- and Throughput-Optimized VLSI Architecture of Sphere D...

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18th IEEE/IFIP International Conference on VLSI and System-on-Chip

作者： Wenk, Markus Bruderer, Lukas Burg, Andreas Studer, Christoph ETH Integrated Syst Lab CH-8092 Zurich Switzerland ETH Commun Technol Lab CH-8092 Zurich Switzerland

ISBN: (纸本)9781424464708

Sphere decoding (SD) is a promising means for implementing high-performance data detection in multiple-input multiple-output (MIMO) wireless communication systems. In this paper, we focus on the register transfer level implementation of SD with minimum area-delay product for application in wideband MIMO communication systems, such as IEEE 802.11n, where multiple SD cores need to be instantiated. The basic architectural considerations and the proposed optimizations are explained based on hard-output SD, but are also applicable to soft-output SD. Corresponding VLSI implementation results (for both hard-output and soft-output SD) show an improvement in the area-delay product by almost 50% compared to that of other SD implementations reported in the literature.

关键词： IEEE 802.11 MIMO communication MIMO wireless communication systems VLSI area-optimized VLSI architecture decoding hard-output sphere decoding high-performance data detection minimum area-delay product multiple-input multiple-output systems register transfer level implementation soft-output sphere decoding throughput-optimized VLSI architecture

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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...

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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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Transmission Strategies in Downlink of Multi-user Multi-cell Distributed Antenna systems 12

Transmission Strategies in Downlink of Multi-user Multi-cell...

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12th IEEE International Conference on Green Innovation for Africon Renaissance (AFRICON)

作者： Beyene, Yihenew Iraji, Sassan Jantti, Riku Ruttik, Kalle Aalto Univ Sch Elect Engn Dept Commun & Networking Espoo Finland

ISBN: (纸本)9781479974986

The use of multiple-input multiple-output (MIMO) systems has been a central part of cellular systems for achieving higher capacity. Distributed antenna system (DAS) is a MIMO system with geographically distributed antennas that provide high coverage and capacity due to the spatial macro diversity. In a multi-user scenario, DAS provides better spatial separation among users. An optimal transmission strategy in a multiuser multi-cell DAS is unknown. We analyze and evaluate downlink capacity of three multiplexing strategies: orthogonal transmission, joint precoding, and space division multiplexing (SDM). Based on the evaluation we propose the most appropriate strategy. The sum-rate has been measured in different scenarios. Simulation results show that DAS has superior performance compared to co-located antennas systems (CAS). It is particularly shown that DAS with simple SDM can provide better capacity than joint transmission in addition to reduced complexity and less feedback overhead. This happens when the number of users increases and remote radio units have single antenna.

关键词： MIMO communication antenna arrays cellular radio diversity reception multiuser detection precoding space division multiplexing CAS DAS MIMO systems SDM cellular systems colocated antennas systems geographically distributed antennas joint precoding multiple-input multiple-output systems multiuser multicell distributed antenna systems orthogonal transmission remote radio units single antenna spatial macro diversity spatial separation transmission strategies Antenna arrays Array signal processing Interchannel interference Joints Transmitting antennas space division multiplexing multiple input multiple output systems Antenna arrays transmission strategies amsonic acid defensive aids suite Interchannel interference cellular system transmitting antennas spatial separation MIMO communication prediction coding cellular radio array signal processing diversity reception

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Low PAPR and Spatial Diversity for OFDM Schemes by using L2-Orthogonal CPM ST-Codes with Fast Decoding 6

Low PAPR and Spatial Diversity for OFDM Schemes by using L2-...

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IEEE Latin-America Conference on Communications LATINCOM

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

ISBN: (纸本)9781479971626

Orthogonal Frequency Division multiplexing (OFDM) is a popular modulation technique that provides high data rates and good robustness against frequency selective fading. Space-Time Block Coding (STBC) is an efficient way to introduce space-time diversity in multiple-input multiple-output (MIMO) systems. Using non-linear modulations such as Continuous Phase Modulation (CPM) with its constant envelope and continuous phase properties could be a solution to construct MIMO OFDM systems and to avoid the structural limitations of linear codes and alleviate the typical PAPR issue of OFDM. However, a major issue with CPM based systems may remain: the decoding complexity. In this paper, we introduce a new space-time-frequency diversity technique based on L2-orthogonal multi-h CPM Space-Time codes designed for OFDM transmission. We benchmark these codes under Rayleigh frequency selective channels and show how they achieve full spatial diversity at full rate for any number of antennas, good spectral compactness and also robustness to frequency fading. Furthermore, the decoding complexity is highly reduced and even made linear in the number of antennas thanks to the orthogonality properties.

关键词： MIMO communication OFDM modulation Rayleigh channels antenna arrays computational complexity decoding diversity reception linear codes space-time block codes CPM CPM-based systems L2-orthogonal CPM ST-codes L2-orthogonal multiA CPM space-time codes MIMO OFDM systems OFDM transmission PAPR issue Rayleigh frequency selective channels STBC constant envelope continuous phase modulation continuous phase properties decoding complexity fast decoding frequency selective fading full-spatial diversity modulation technique multiple-input multiple-output systems nonlinear modulation orthogonal frequency division multiplexing orthogonality properties space-time block coding space-time diversity space-time-frequency diversity technique spectral compactness Bit error rate Decoding Frequency diversity Modulation OFDM Transmitting antennas Orthogonal frequency division multiplexing space time block coding linear codes multiple input multiple output systems DECODING Critical path method continuous phase modulation nonlinear modulation selective fading Frequency diversity transmitting antennas MIMO communication spatial diversity Raleigh fading channels diversity reception

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Outage Analysis for Group Detectors in MIMO Fading Channels 17

Outage Analysis for Group Detectors in MIMO Fading Channels

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17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Ismail, Amr Tosato, Filippo Toshiba Res Europe Ltd 32 Queen Sq Bristol BS1 4ND Avon England

ISBN: (纸本)9781509017492

multiple-input multiple-output (MIMO) techniques are now being commonplace in wireless communication systems as they provide diversity and spatial multiplexing gains compared to single-input single-output (SISO) systems. Due to the induced high complexity of maximum likelihood (ML) detection for MIMO systems, suboptimal detection is usually employed but at a performance loss. This loss has been fully characterized for linear receivers, namely, zero-forcing (ZF) and minimum mean square error (MMSE) detectors. Interestingly, it has been noticed that in case of coding across transmit antennas, the MMSE receiver showed significant improvement over ZF in terms of outage probability at low spectral efficiencies, whereas for high spectral efficiencies, both receivers showed similar behaviour. We fill the gap between the two extreme cases (i.e., ML and linear receivers) through relaxing the linearity constraint by considering group receivers (viz. group zero-forcing (GZF) and group minimum mean square error (GMMSE) detectors) with coding across transmit antennas. We first derive the diversity-multiplexing tradeoff (DMT) for those group detectors. Next, we characterize the peculiar rate-dependent outage behaviour of the GMMSE, where it is found that tolerating additional detection complexity provides performance advantage w.r.t the MMSE at specific ranges of spectral efficiency. We corroborate our theoretical analysis via numerical simulations.

关键词： multiple-input multiple-output systems detection complexity outage probability group decoding

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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 ...

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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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Joint Compensation of multiple RF Impairments in MIMO STBC systems

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

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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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