Zero-Crossing Precoding with Maximum Distance to the Decision Threshold for Channels with 1-Bit Quantization and Oversampling

Melo, Diana M. V.; Landau, Lukas T. N.; Lamare, Rodrigo C. de

doi:10.1109/icassp40776.2020.9053632

Cited by 12 publications

(22 citation statements)

References 15 publications

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“…and covarianceΣ n = 1 2 Σ n , which is defined in (24). P q l |x l is defined similar to P p l |x l .…”

Section: B Soft-output Equalizermentioning

confidence: 99%

“…The authors propose a quantization precoder which optimizes the transmit signal under a bandwidth constraint, such that the payload bits can be uniquely detected from the 1-bit quantized observations at the receiver in the absence of noise. Spatio-temporal precoding for a similar setup as in [23] has been considered in [24], [25], where the authors also proposed a superior bit-mapping, denoted as zero-crossing precoding. The benefits of employing temporal oversampling in a massive MIMO uplink scenario with 1-bit ADCs have been illustrated in [26].…”

Section: Introductionmentioning

confidence: 99%

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Zero-Crossing Modulation for Wideband Systems Employing 1-Bit Quantization and Temporal Oversampling: Transceiver Design and Performance Evaluation

Neuhaus

Dörpinghaus

Fettweis

2021

IEEE Open J. Commun. Soc.

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Next-generation wireless communications systems are anticipated to utilize the vast amount of available spectrum in the millimeterwave and sub-terahertz bands above 100 GHz to meet the ever-increasing demand for higher data rates. However, the analog-todigital converter (ADC) power consumption is expected to be a major bottleneck if conventional system designs are employed at these frequencies. Instead, shifting the ADC resolution from the amplitude domain to the time domain by employing 1-bit quantization and temporal oversampling w.r.t. the Nyquist rate is expected to be more energy-efficient.Hence, we consider a system employing 1-bit quantization and temporal oversampling at the receiver, which operates on a wideband line-of-sight channel. We present a practical transceiver design for a zero-crossing modulation waveform, which combines faster-than-Nyquist signaling and runlength-limited (RLL) transmit sequences. To this aim, we derive four fixed-length finite-state machine RLL encoders enabling efficient transmit signal construction and soft-demapping at the receiver. Moreover, we propose a soft-output equalizer, which approximates maximum a posteriori RLL symbol detection. We evaluate the system performance in terms of peak-to-average-power ratio, coded block error rate, and a lower bound on the spectral efficiency (SE) w.r.t. a fractional power containment bandwidth. Our numerical results show that SEs of up to 4 bit/s/Hz are achievable with the presented transceiver design.

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“…and covarianceΣ n = 1 2 Σ n , which is defined in (24). P q l |x l is defined similar to P p l |x l .…”

Section: B Soft-output Equalizermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Zero-Crossing Modulation for Wideband Systems Employing 1-Bit Quantization and Temporal Oversampling: Transceiver Design and Performance Evaluation

Neuhaus

Dörpinghaus

Fettweis

2021

IEEE Open J. Commun. Soc.

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show abstract

“…The quantization precoding technique relies on an exhaustive codebook search which allows simple Hamming distance detection. Superior precoding schemes for MIMO downlink scenarios have been investigated in [14], [15], where a novel time-instance zerocrossing (TI ZX) modulation is introduced. This novel modulation follows the idea of [2] by allocating the information into the time-instance of zero-crossings in order to reduce the number of zero-crossings of the signal.…”

Section: Introductionmentioning

confidence: 99%

“…This novel modulation follows the idea of [2] by allocating the information into the time-instance of zero-crossings in order to reduce the number of zero-crossings of the signal. The study in [14] relies on a precoding technique based on the MMDDT criterion with spatial zero-forcing (ZF) precoding and TI ZX modulation, whereas [15] proposes an optimal temporalspatial precoding technique with TI ZX modulation along with an minimum mean square error (MMSE) solution. Other studies that consider novel TI ZX modulation schemes have been presented in [13], [16], [17] where the computa-tional complexity is reduced [16].…”

Section: Introductionmentioning

confidence: 99%

State Machine-based Waveforms for Channels With 1-Bit Quantization and Oversampling With Time-Instance Zero-Crossing Modulation

Melo¹,

Landau²,

Lamare³

2023

Preprint

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Systems with 1-bit quantization and oversampling are promising for the Internet of Things (IoT) devices in order to reduce the power consumption of the analog-to-digitalconverters. The novel time-instance zero-crossing (TI ZX) modulation is a promising approach for this kind of channels but existing studies rely on optimization problems with high computational complexity and delay. In this work, we propose a practical waveform design based on the established TI ZX modulation for a multiuser multi-input multioutput (MIMO) downlink scenario with 1-bit quantization and temporal oversampling at the receivers. In this sense, the proposed temporal transmit signals are constructed by concatenating segments of coefficients which convey the information into the time-instances of zero-crossings according to the TI ZX mapping rules. The proposed waveform design is compared with other methods from the literature. The methods are compared in terms of bit error rate and normalized power spectral density. Numerical results show that the proposed technique is suitable for multiuser MIMO system with 1-bit quantization while tolerating some small amount of out-of-band radiation.

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“…Recently, the authors in [24,25] have used spatial oversampling by employing a 1-bit Sigma-Delta (Σ∆) sampling scheme which have shown large performance gains on channel estimation and signal detection. Furthermore, the studies in [26,27,28,29] have devised different precoding techniques which rely on 1-bit quantization at the transmitter.…”

Section: Motivation and Prior Workmentioning

confidence: 99%

On Mimo Communications Systems With 1-Bit Quantization and Comparator Networks at the Receiver

Fernandes¹

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First of all, I would like to thank my advisor Prof. Lukas T. N. Landau for introducing me to this novel topic. This study would not be possible without his encouragement, patience, guidance, daily motivation and assistance.I would like to express my love to my family, for their encouragement in both good and difficult times. To my parents, thank you for your advice, patience and support in my insane decisions throughout the years. To my mother, Márcia, thank you for teaching me the importance of learning and that the only thing people can't take from you is your knowledge. To my father, Marco, for teaching me that I should not take things so seriously: life is much simpler through his eyes. To my sister, Ana Carolina, thank you for always being there for me, your love and friendship. To my fiance, Pedro, for showing me that relaxing breaks are not only healthy but also super necessary, that I must not be anxious about things I can't control and, most importantly, that I should not settle for less than I deserve.My sincere thanks to all professors, students and staff from CETUC for providing a pleasant environment to pursue my studies. I had the opportunity to share classes and the laboratory with some amazing people. A special thanks to Roberto and Erico for their help, great insights and friendship. I am also grateful to the members of my defense committee, professors Junil Choi, Gonzalo Seco-Granados, Tadeu N. Ferreira and Rodrigo C. de Lamare, for generously serving as referees and take their time to evaluate my thesis.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001.

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Zero-Crossing Precoding with Maximum Distance to the Decision Threshold for Channels with 1-Bit Quantization and Oversampling

Cited by 12 publications

References 15 publications

Zero-Crossing Modulation for Wideband Systems Employing 1-Bit Quantization and Temporal Oversampling: Transceiver Design and Performance Evaluation

Zero-Crossing Modulation for Wideband Systems Employing 1-Bit Quantization and Temporal Oversampling: Transceiver Design and Performance Evaluation

State Machine-based Waveforms for Channels With 1-Bit Quantization and Oversampling With Time-Instance Zero-Crossing Modulation

On Mimo Communications Systems With 1-Bit Quantization and Comparator Networks at the Receiver

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