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

被引:0
|
作者
Min, Moonsik [1 ,2 ]
Kong, Jae-Ik [2 ]
Kim, Tae-Kyoung [3 ]
机构
[1] Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea
[2] Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea
[3] Gachon Univ, Dept Elect Engn, Seongnam 13120, South Korea
基金
新加坡国家研究基金会;
关键词
one-bit analog-to-digital converter; interference cancellation; multiple access channel; successive detection; power allocation; WAVE MASSIVE MIMO; SYSTEMS; CAPACITY; CHANNEL; COMMUNICATION; UPLINK; ADCS;
D O I
10.3390/s23136004
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:16
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