Iterative MMSE Space-Time Zero-Crossing Precoding for Channels With 1-Bit Quantization and Oversampling

Melo, Diana M. V.; Landau, Lukas T. N.; Ribeiro, Lucas N.; Haardt, Martin

doi:10.1109/ieeeconf51394.2020.9443574

Cited by 3 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

“…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]. In [17] the minimization of the transmit power under quality of service constraint is considered as an objective.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we propose a TI ZX waveform design for multiuser MIMO downlink channels with 1-bit quantization and oversampling where a defined level of out-ofband radiation is tolerated. The proposed waveform design considers the novel TI ZX modulation from [14], [15] and follows a similar idea as presented in [7]. The proposed method conveys the information into the time-instances of zero-crossings but instead of considering sequences of samples, input bits are mapped into waveform segments according to the TI ZX mapping rules [14], [15].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed waveform design considers the novel TI ZX modulation from [14], [15] and follows a similar idea as presented in [7]. The proposed method conveys the information into the time-instances of zero-crossings but instead of considering sequences of samples, input bits are mapped into waveform segments according to the TI ZX mapping rules [14], [15]. The temporal precoding vector is then used in conjunction with a simple pulse shaping filter.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Melo¹,

Landau²,

Lamare³

2023

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Melo¹,

Landau²,

Lamare³

2023

Preprint

View full text Add to dashboard Cite

show abstract

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

Melo,

Landau,

De Lamare

2024

IEEE Access

Self Cite

View full text Add to dashboard Cite

Systems with 1-bit quantization and oversampling are promising for the Internet of Things (IoT) networks because they can reduce the power consumption of the analog-to-digital-converters in the devices. The novel time-instance zero-crossing (TI ZX) modulation is a promising approach for IoT networks and devices 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 multi-output (MIMO) systems in the 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 in terms of bit error rate and normalized power spectral density. Numerical results show that the proposed technique is suitable for multiuser MIMO systems with 1-bit quantization while tolerating some small amount of out-of-band radiation.INDEX TERMS Zero-crossing precoding, Oversampling, Moore machine, 1-bit quantization.

show abstract

Zero-Crossing Precoding Techniques for Channels With 1-Bit Temporal Oversampling ADCs

Melo

Landau

Lamare

et al. 2023

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Iterative MMSE Space-Time Zero-Crossing Precoding for Channels With 1-Bit Quantization and Oversampling

Cited by 3 publications

References 14 publications

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

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

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

Zero-Crossing Precoding Techniques for Channels With 1-Bit Temporal Oversampling ADCs

Contact Info

Product

Resources

About