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Article

Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation

1
School of Electronics Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
2
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
3
Department of Electronic Engineering, Gachon University, Seongnam 13120, Republic of Korea
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(13), 6004; https://doi.org/10.3390/s23136004
Submission received: 24 May 2023 / Revised: 21 June 2023 / Accepted: 27 June 2023 / Published: 28 June 2023
(This article belongs to the Section Communications)

Abstract

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.
Keywords: one-bit analog-to-digital converter; interference cancellation; multiple access channel; successive detection; power allocation one-bit analog-to-digital converter; interference cancellation; multiple access channel; successive detection; power allocation

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MDPI and ACS Style

Min, M.; Kong, J.-I.; Kim, T.-K. Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation. Sensors 2023, 23, 6004. https://doi.org/10.3390/s23136004

AMA Style

Min M, Kong J-I, Kim T-K. Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation. Sensors. 2023; 23(13):6004. https://doi.org/10.3390/s23136004

Chicago/Turabian Style

Min, Moonsik, Jae-Ik Kong, and Tae-Kyoung Kim. 2023. "Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation" Sensors 23, no. 13: 6004. https://doi.org/10.3390/s23136004

APA Style

Min, M., Kong, J.-I., & Kim, T.-K. (2023). Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation. Sensors, 23(13), 6004. https://doi.org/10.3390/s23136004

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