关于非正交多址接入（NOMA）的检测最优性及精确误码率分析
On the Detection Optimality and Exact BER Analysis of NOMA
浏览论文内容
中文总结 AI 辅助
研究非正交多址接入（NOMA）检测最优性及误码率，推导最优逐用户最大后验（MAP）检测器，确定近用户检测器与传统SIC的关系及两者等效性，给出考虑SIC统计变化的精确平均BER分析，在中低信噪比下有BER增益。
中文摘要 AI 辅助
非正交多址接入（NOMA）采用连续干扰消除（SIC）和联合多用户最大似然（JML）检测已被广泛研究，但其在最小化单个用户误码率（BER）方面的最优性未确立，现有BER分析忽略了SIC引起的统计变化。本文推导了最优的逐用户最大后验（MAP）检测器，确定了近用户检测器何时简化为传统SIC，并证明了传统SIC和JML的等效性。给出了考虑SIC引起的统计变化的精确平均BER分析。结果表明，所提检测器在中低信噪比下实现了适度但稳定的BER增益。
英文摘要
Non-orthogonal multiple access (NOMA) detection using successive interference cancellation (SIC) and joint multiuser maximum likelihood (JML) has been extensively studied, although their presumed optimality for individual-user bit error rate (BER) minimization is unestablished. Moreover, existing BER analyses overlook the SIC-induced statistical changes. This letter derives optimal per-user maximum a posteriori (MAP) detectors, identifies when the near-user detector reduces to conventional SIC, and proves the equivalence of conventional SIC and JML. An exact average BER analysis accounting for SIC-induced statistical changes is presented. The results show that the proposed detector achieves modest but consistent BER gains at low-to-moderate signal-to-noise ratio (SNR).
