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arXiv 2017年

作者： Jedda, Hela Mezghani, Amine Nossek, Josef A. Institute for Circuit Theory and Signal Processing Technische Universität München Munich80290 Germany

We aim at investigating the impact of low resolution digital-to-analog converters (DACs) at the transmitter and low resolution analog-to-digital converters (ADCs) at the receiver on the required bandwidth and the required signalto-noise ratio (SNR). In particular, we consider the extreme case of only 1-bit resolution (with oversampling), where we propose a single carrier system architecture for minimizing the spectral occupation and the required SNR of 1-bit signals. In addition, the receiver is optimized to take into account the effects of quantization at both ends. Through simulations, we show that despite of the coarse quantization, sufficient spectral confinement is still achievable. Copyright © 2017, The Authors. All rights reserved.

关键词： signal to noise ratio

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Minimum BER precoding in 1-bit massive MIMO systems

arXiv

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arXiv 2017年

作者： Jedda, Hela Nossek, Josef A. Mezghani, Amine Institute of Circuit Theory and Signal Processing Technische Universität München Munich80290 Germany University of California Irvine IrvineCA92697 United States

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical and computational efficiency. We present a new precoding technique to mitigate the inter-user-interference (IUI) and the channel distortions in a 1-bit downlink MUMISO system with QPSK symbols. The transmit signal vector is optimized taking into account the 1-bit quantization. We develop a sort of mapping based on a look-up table (LUT) between the input signal and the transmit signal. The LUT is updated for each channel realization. Simulation results show a significant gain in terms of the uncoded bit-error-ratio (BER) compared to the existing linear precoding techniques. Copyright © 2017, The Authors. All rights reserved.

关键词： Table lookup

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MMSE precoder for massive MIMO using 1-bit quantization 41

MMSE precoder for massive MIMO using 1-bit quantization

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41st IEEE International Conference on Acoustics, Speech and signal processing, ICASSP 2016

作者： Usman, Ovais Bin Jedda, Hela Mezghani, Amine Nossek, Josef A. Institute for Circuit Theory and Signal Processing Technische Universität München Munich80290 Germany

ISBN: (纸本)9781479999880

We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for a downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolution 1-bit digital-to-analog (DAC) and analog-to-digital (ADC) converters are used. This comes at the cost of performance gain that can be recovered by the large number of antennas deployed at the base station (BS) and an appropiate pre-coder design to mitigate the distortions due to the coarse quantization. The proposed precoder takes the quantization non-linearities into account and is split into a digital precoder and an analog precoder. We formulate the two-stage precoding problem such that the MSE of the users is minimized under the 1-bit constraint. In the simulations, we compare the new optimized precoding scheme with previously proposed linear precoders in terms of uncoded bit error ratio (BER). © 2016 IEEE.

关键词： 1-bit quantization Massive MIMO Precoding Transmit signal processing

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Minimum BER precoding in 1-Bit massive MIMO systems

Minimum BER precoding in 1-Bit massive MIMO systems

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2016 IEEE Sensor Array and Multichannel signal processing Workshop, SAM 2016

ISBN: (纸本)9781509021031

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical and computational efficiency. We present a new precoding technique to mitigate the inter-user-interference (IUI) and the channel distortions in a 1-bit downlink MU-MISO system with QPSK symbols. The transmit signal vector is optimized taking into account the 1-bit quantization. We develop a sort of mapping based on a look-up table (LUT) between the input signal and the transmit signal. The LUT is updated for each channel realization. Simulation results show a significant gain in terms of the uncoded bit-error-ratio (BER) compared to the existing linear precoding techniques. © 2016 IEEE.

关键词： MIMO systems

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ASYMPTOTIC PERFORMANCE ANALYSIS FOR 1-BIT BAYESIAN SMOOTHING

ASYMPTOTIC PERFORMANCE ANALYSIS FOR 1-BIT BAYESIAN SMOOTHING

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IEEE International Conference on Acoustics, Speech and signal processing

作者： Lin Zhang Manuel Stein Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universit??t M??nchen Germany

ISBN: (纸本)9781479999897

Energy-efficient signal processing systems require estimation methods operating on data collected with low-complexity devices. Using analog-to-digital converters (ADC) with 1-bit amplitude resolution has been identified as a possible option in order to obtain low power consumption. The 1-bit performance loss, in comparison to an ideal receiver with ∞-bit ADC, is well-established and moderate for low SNR applications (2/π or -1.96 dB). Recently it has been shown that for parameter estimation with state-space models the 1-bit performance loss with Bayesian filtering can be significantly smaller (or -0.98 dB). Here we extend the analysis to Bayesian smoothing where additional measurements are used to reconstruct the current state of the system parameter. Our results show that a 1-bit receiver performing smoothing is able to outperform an ideal ∞-bit system carrying out filtering by the cost of an additional processing delay Δ.

关键词： 1-bit signal processing Bayesian smoothing state-space estimation

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Frequency-domain analysis of linear periodically time-varying FBMC systems

Frequency-domain analysis of linear periodically time-varyin...

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2016 IEEE Sensor Array and Multichannel signal processing Workshop, SAM 2016

作者： Laas, Tobias Baltar, Leonardo G. Nossek, Josef A. Institute for Circuit Theory and Signal Processing Technische Universität München München80290 Germany Next Generation and Standards Intel Deutschland GmbH Am Campeon 10-12 Neubiberg85579 Germany

ISBN: (纸本)9781509021031

We study how to analyze Linear Periodically Time-Varying (LPTV) Filter Bank Based Multi-Carrier (FBMC) transmitters with Offset QAM (OQAM) modulation. Using an approach based on the Bifrequency Map and the Power Spectral Density (PSD), we can derive a Pseudo-Transfer Function for each subcarrier in the steady-state, taking the upsampling into account. Furthermore, we show that the magnitude of the PseudoTransfer Function can be expressed as the average magnitude of Linear Time Invariant (LTI) transfer functions and that an FIR LTI filter with the same magnitude as the Pseudo-Transfer Function and with the same degree as the LPTV filter exists. We also present an LPTV filter fulfilling the Perfect Reconstruction (PR) conditions and apply our previous results. © 2016 IEEE.

关键词： Transfer functions

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A Bayesian Sparse Reconstruction Framework for Mitigation of Non-Linear Effects in OFDM Systems

A Bayesian Sparse Reconstruction Framework for Mitigation of...

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IEEE Conference on Vehicular Technology (VTC)

作者： Francisco Javier Garcia Gomez Jawad Munir Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

ISBN: (纸本)9781509016990

The mitigation of nonlinear distortion caused by power amplifiers (PA) in Orthogonal Frequency Division Multiplexing (OFDM) systems is an essential issue to enable energy efficient operation. We propose a new algorithm for receiver-based clipping estimation in OFDM systems that combines the existing Iterative Hard Thresholding method with a novel Bayesian framework to estimate clipping parameters at the receiver. We avoid the use of pilots and formulate the recovery problem solely on reliably detected sub-carriers. We also develop a new criterion for selecting these reliable carriers that takes into account the channel code. Through simulations, we show that the proposed technique outperforms the existing methods both in terms of BER and speed.

关键词： Reliability Receivers Bayes methods Distortion Peak to average power ratio Iterative methods

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MMSE precoder for massive MIMO using 1-bit quantization

MMSE precoder for massive MIMO using 1-bit quantization

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Ovais Bin Usman Hela Jedda Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

ISBN: (纸本)9781479999897

We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for a downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolution 1-bit digital-to-analog (DAC) and analog-to-digital (ADC) converters are used. This comes at the cost of performance gain that can be recovered by the large number of antennas deployed at the base station (BS) and an appropriate pre-coder design to mitigate the distortions due to the coarse quantization. The proposed precoder takes the quantization non-linearities into account and is split into a digital precoder and an analog precoder. We formulate the two-stage precoding problem such that the MSE of the users is minimized under the 1-bit constraint. In the simulations, we compare the new optimized precoding scheme with previously proposed linear precoders in terms of uncoded bit error ratio (BER).

关键词： Quantization (signal) MIMO Covariance matrices Optimization Antennas Precoding Bit error rate

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Cell Search for a Millimeter Wave Cellular System with 1-bit Quantization at the Receiver

Cell Search for a Millimeter Wave Cellular System with 1-bit...

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IEEE Vehicular Technology Conference

作者： Kilian Roth Honglei Miao Josef A. Nossek Next Generation and Standards Intel Deutschland GmbH Institute for Circuit Theory and Signal Processing Technical University Munich

ISBN: (纸本)9781509016990

For 5G it will be important to leverage the available millimeter wave spectrum. Communication at high carrier frequencies requires antenna arrays at both the base and mobile station. A 1-bit analog to digital converter can effectively reduce the complexity and power consumption of the analog frontend. This is especially interesting in the context of large antenna arrays with a sizable signal bandwidth. In this paper we investigate the cell search capabilities of a mobile station with an antenna array and an analog frontend with 1-bit quantization behind each antenna. We derive the Likelihood Ratio Test (LRT) for this problem with full channel knowledge. We also show the Generalized Likelihood Ratio Test (GLRT) for a case without channel knowledge, and compare the performance to practical algorithm based on correlation. We show that the practical correlation achieves a similar performance compared to the theoretical optimal GLRT. Compared to a system with high resolution analog to digital conversion our results show the theoretical derived SNR gap of 2 dB.

关键词： Antenna arrays 1-bit millimeter wave CARRIER FREQUENCY mobile station Receivers signal bandwidth front-ends Quantization likelihood ratio test Analog-digital conversion cellular system analog digital converter

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Minimum BER precoding in 1-Bit massive MIMO systems

Minimum BER precoding in 1-Bit massive MIMO systems

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Sensor Array and Multichannel signal processing Workshop

作者： Hela Jedda Josef A. Nossek Amine Mezghani Institute of Circuit Theory and Signal Processing Technische Universität München Munich Germany University of California Irvine Irvine CA USA

ISBN: (纸本)9781509021048

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical and computational efficiency. We present a new precoding technique to mitigate the inter-user-interference (IUI) and the channel distortions in a 1-bit downlink MU-MISO system with QPSK symbols. The transmit signal vector is optimized taking into account the 1-bit quantization. We develop a sort of mapping based on a look-up table (LUT) between the input signal and the transmit signal. The LUT is updated for each channel realization. Simulation results show a significant gain in terms of the uncoded bit-error-ratio (BER) compared to the existing linear precoding techniques.

关键词： Optimization Quantization (signal) MIMO Phase shift keying Table lookup Antennas Distortion

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