Detection Schemes with Low-Resolution ADCs and Spatial Oversampling for Transmission with Higher-Order Constellations in the Terahertz Band
In this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side. We compare different analog-to-digital converter (ADC) parametrizations in a fair manner by keeping the ADC power consumption constant. Here, 1-, 2-, and 3...
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Main Authors | , , , , |
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Format | Journal Article |
Language | English |
Published |
07.02.2024
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Subjects | |
Online Access | Get full text |
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Summary: | In this work, we consider Terahertz (THz) communications with low-resolution
uniform quantization and spatial oversampling at the receiver side. We compare
different analog-to-digital converter (ADC) parametrizations in a fair manner
by keeping the ADC power consumption constant. Here, 1-, 2-, and 3-bit
quantization is investigated with different oversampling factors. We
analytically compute the statistics of the detection variable, and we propose
the optimal as well as several suboptimal detection schemes for arbitrary
quantization resolutions. Then, we evaluate the symbol error rate (SER) of the
different detectors for a 16- and a 64-ary quadrature amplitude modulation
(QAM) constellation. The results indicate that there is a noticeable
performance degradation of the suboptimal detection schemes compared to the
optimal scheme when the constellation size is larger than the number of
quantization levels. Furthermore, at low signal-to-noise ratios (SNRs), 1-bit
quantization outperforms 2- and 3-bit quantization, respectively, even when
employing higher-order constellations. We confirm our analytical results by
Monte Carlo simulations. Both a pure line-of-sight (LoS) and a more
realistically modeled indoor THz channel are considered. Then, we optimize the
input signal constellation with respect to SER for 1-bit quantization. The
results show that the minimum SER can be lowered significantly for 16-QAM by
increasing the distance between the inner and outer points of the input
constellation. For larger constellations, however, the achievable reduction of
the minimum SER is much smaller compared to 16-QAM. |
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DOI: | 10.48550/arxiv.2402.04728 |