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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Main Authors: Moonsik Min, Jae-Ik Kong, Tae-Kyoung Kim
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/13/6004
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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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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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AT jaeikkong nonorthogonalmultipleaccesswithonebitanalogtodigitalconvertersusingthresholdadaptation
AT taekyoungkim nonorthogonalmultipleaccesswithonebitanalogtodigitalconvertersusingthresholdadaptation