Recently non-orthogonal multiple access (NOMA) technique has been proposed for boosting spectral efficiencies in 5G cellular networks. In NOMA the transmitter maps a predefined number of user symbols on to the same resources. The conventional receiver for NOMA is the well-known serial interference cancellation. To overcome the problem of high overhead signalling, a receiver with an automatic modulation classification (AMC) algorithm for a K -user NOMA which identifies the modulation scheme of users before symbol detection is proposed. First, a two-user NOMA (TU-NOMA) scheme is treated and the receiver is extended to more general cases. For evaluating the performance of the proposed receiver its bit error rate (BER) for TU-NOMA case has been driven and shown that this can be approximated as the sum of the demodulator BER and the AMC algorithm error probability. The simulation results show the BER degradation can be neglected if an enough number of symbols with sufficiently large SNR values are available.

中文翻译：

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具有自动调制分类技术的低开销NOMA接收机

最近，已经提出了非正交多址（NOMA）技术来提高5G蜂窝网络的频谱效率。在NOMA中，发射机将预定义数量的用户符号映射到相同的资源上。NOMA的常规接收器是众所周知的串行干扰消除。为了克服高开销信令的问题，采用自动调制分类（AMC）算法的接收机ķ -用户NOMA，其提出了在符号检测之前识别用户的调制方案。首先，对待两用户NOMA（TU-NOMA）方案，并将接收器扩展到更一般的情况。为了评估建议的接收器的性能，已经驱动了其针对TU-NOMA情况的误码率（BER），并表明可以将其近似为解调器BER与AMC算法错误概率的总和。仿真结果表明，如果有足够数量的具有足够大SNR值的符号，则BER降级可以忽略不计。