Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation
In digital communication systems featuring high-resolution analog-to-digital converters (ADCs), the utilization of successive interference cancellation and detection can enhance the capacity of a Gaussian multiple access channel (MAC) by combining signals from multiple transmitters in a non-orthogon...
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MDPI AG
2023-06-01
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author | Moonsik Min Jae-Ik Kong Tae-Kyoung Kim |
author_facet | Moonsik Min Jae-Ik Kong Tae-Kyoung Kim |
author_sort | Moonsik Min |
collection | DOAJ |
description | In digital communication systems featuring high-resolution analog-to-digital converters (ADCs), the utilization of successive interference cancellation and detection can enhance the capacity of a Gaussian multiple access channel (MAC) by combining signals from multiple transmitters in a non-orthogonal manner. Conversely, in systems employing one-bit ADCs, it is exceedingly difficult to eliminate non-orthogonal interference using digital signal processing due to the considerable distortion present in the received signal when employing such ADCs. As a result, the Gaussian MAC does not yield significant capacity gains in such cases. To address this issue, we demonstrate that, under a given deterministic interference, the capacity of a one-bit-quantized channel becomes equivalent to the capacity without interference when an appropriate threshold value is chosen. This finding suggests the potential for indirect interference cancellation in the analog domain, facilitating the proposition of an efficient successive interference cancellation and detection scheme. We analyze the achievable rate of the proposed scheme by deriving the mutual information between the transmitted and received signals at each detection stage. The obtained results indicate that the sum rate of the proposed scheme generally outperforms conventional methods, with the achievable upper bound being twice as high as that of the conventional methods. Additionally, we have developed an optimal transmit power allocation algorithm to maximize the sum rate in fading channels. |
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language | English |
last_indexed | 2024-03-11T01:29:04Z |
publishDate | 2023-06-01 |
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spelling | doaj.art-17a5204872e240d29fd4f442712c75c42023-11-18T17:29:57ZengMDPI AGSensors1424-82202023-06-012313600410.3390/s23136004Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold AdaptationMoonsik Min0Jae-Ik Kong1Tae-Kyoung Kim2School of Electronics Engineering, Kyungpook National University, Daegu 41566, Republic of KoreaSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of KoreaDepartment of Electronic Engineering, Gachon University, Seongnam 13120, Republic of KoreaIn digital communication systems featuring high-resolution analog-to-digital converters (ADCs), the utilization of successive interference cancellation and detection can enhance the capacity of a Gaussian multiple access channel (MAC) by combining signals from multiple transmitters in a non-orthogonal manner. Conversely, in systems employing one-bit ADCs, it is exceedingly difficult to eliminate non-orthogonal interference using digital signal processing due to the considerable distortion present in the received signal when employing such ADCs. As a result, the Gaussian MAC does not yield significant capacity gains in such cases. To address this issue, we demonstrate that, under a given deterministic interference, the capacity of a one-bit-quantized channel becomes equivalent to the capacity without interference when an appropriate threshold value is chosen. This finding suggests the potential for indirect interference cancellation in the analog domain, facilitating the proposition of an efficient successive interference cancellation and detection scheme. We analyze the achievable rate of the proposed scheme by deriving the mutual information between the transmitted and received signals at each detection stage. The obtained results indicate that the sum rate of the proposed scheme generally outperforms conventional methods, with the achievable upper bound being twice as high as that of the conventional methods. Additionally, we have developed an optimal transmit power allocation algorithm to maximize the sum rate in fading channels.https://www.mdpi.com/1424-8220/23/13/6004one-bit analog-to-digital converterinterference cancellationmultiple access channelsuccessive detectionpower allocation |
spellingShingle | Moonsik Min Jae-Ik Kong Tae-Kyoung Kim Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation Sensors one-bit analog-to-digital converter interference cancellation multiple access channel successive detection power allocation |
title | Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation |
title_full | Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation |
title_fullStr | Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation |
title_full_unstemmed | Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation |
title_short | Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation |
title_sort | non orthogonal multiple access with one bit analog to digital converters using threshold adaptation |
topic | one-bit analog-to-digital converter interference cancellation multiple access channel successive detection power allocation |
url | https://www.mdpi.com/1424-8220/23/13/6004 |
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