Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band
In this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side, corresponding to a single-input multiple-output (SIMO) transmission. We fairly compare different analog-to-digital converter (ADC) parametrizations by keep...
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2025-01-01
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author | Christian Forsch Peter Zillmann Osama Alrabadi Stefan Brueck Wolfgang Gerstacker |
author_facet | Christian Forsch Peter Zillmann Osama Alrabadi Stefan Brueck Wolfgang Gerstacker |
author_sort | Christian Forsch |
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description | In this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side, corresponding to a single-input multiple-output (SIMO) transmission. We fairly compare different analog-to-digital converter (ADC) parametrizations 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 and several suboptimal detection schemes for arbitrary quantization resolutions. Then, we evaluate the symbol error rate (SER) of the different detectors for 16- and 64-ary quadrature amplitude modulation (QAM). The results indicate that there is a noticeable performance degradation of the suboptimal detectors compared to the optimal detector 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- and 2-bit quantization. The results give insights for optimizing higher-order constellations for arbitrary quantization resolutions and show that the minimum SER can be lowered significantly by appropriately placing the constellation points. |
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spelling | doaj-art-c1818ce5c8564eab9aaa4c53338a4bb62025-02-11T00:01:13ZengIEEEIEEE Access2169-35362025-01-0113246432466010.1109/ACCESS.2025.353758310858742Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz BandChristian Forsch0https://orcid.org/0009-0009-9135-2207Peter Zillmann1Osama Alrabadi2Stefan Brueck3Wolfgang Gerstacker4https://orcid.org/0000-0002-5656-7829Institute for Digital Communications, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyQualcomm CDMA Technologies, Nürnberg, GermanyQualcomm CDMA Technologies, Nürnberg, GermanyQualcomm CDMA Technologies, Nürnberg, GermanyInstitute for Digital Communications, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyIn this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side, corresponding to a single-input multiple-output (SIMO) transmission. We fairly compare different analog-to-digital converter (ADC) parametrizations 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 and several suboptimal detection schemes for arbitrary quantization resolutions. Then, we evaluate the symbol error rate (SER) of the different detectors for 16- and 64-ary quadrature amplitude modulation (QAM). The results indicate that there is a noticeable performance degradation of the suboptimal detectors compared to the optimal detector 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- and 2-bit quantization. The results give insights for optimizing higher-order constellations for arbitrary quantization resolutions and show that the minimum SER can be lowered significantly by appropriately placing the constellation points.https://ieeexplore.ieee.org/document/10858742/Constellation optimizationlow-resolution quantizationmaximum-likelihood detectionoversamplingsymbol error rateterahertz communications |
spellingShingle | Christian Forsch Peter Zillmann Osama Alrabadi Stefan Brueck Wolfgang Gerstacker Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band IEEE Access Constellation optimization low-resolution quantization maximum-likelihood detection oversampling symbol error rate terahertz communications |
title | Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band |
title_full | Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band |
title_fullStr | Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band |
title_full_unstemmed | Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band |
title_short | Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band |
title_sort | detection schemes with low resolution adcs and spatial oversampling for transmission with higher order constellations in terahertz band |
topic | Constellation optimization low-resolution quantization maximum-likelihood detection oversampling symbol error rate terahertz communications |
url | https://ieeexplore.ieee.org/document/10858742/ |
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