Non-Orthogonal multiple access (NOMA) and Cognitive radio (Cr) are seen as one of the most promising techniques, which improves the utilization of the spectrum in 5G. The expanding number of wireless applications like new gadgets, IOT brought about developing a block in the ISM groups. The FCC requested to permit unlicensed clients to work in the void area without obstruction to an authorized guest. Cr gives an answer for an extra range prerequisite issue for productive spectrum usage. The foremost condition for permitting CRs to utilize spectrum is not causing obstruction to licensed users. Spectrum sensing permit secondary users (Su) to separately recognize the idle portions of the spectrum, and thus evade obstruction to licensed users. In existing spectrum sensing techniques, SU can only utilize the unused spectrum when PU is not present. Therefore, spectrum exploitation of the conventional system is very low. In recent times NOMA has been projected to utilize the spectrum in an efficient manner. The proposed work permits the SU to utilize a spectrum of PU, both at its absence. Spectrum sensing in NOMA is not explored so far. Hence, in this paper, NOMA based matched filter detection is designed for QAM-64 and QAM-256. Matlab simulation is applied to study the operation of the proposed detection technique in NOMA in respect of several parameters like bit error rate (BER) Vs signal to noise ratio (SNR), the probability of detection (Pd), and probability of false alarm (Pfa).

非正交多址（NOMA）和认知无线电（Cr）被视为最有前途的技术之一，它提高了5G频谱的利用率。物联网（IOT）等新的小工具等无线应用的数量不断增加，促使ISM小组开发了一个模块。FCC要求允许无执照的客户在无效区域内工作，而不会妨碍获得授权的客人。Cr为生产频谱使用提供了额外范围的先决条件的答案。允许CR使用频谱的最基本条件不会对许可用户造成阻碍。频谱感测允许次要用户（Su）单独识别频谱的空闲部分，从而避免对许可用户造成障碍。在现有的频谱感测技术中，SU仅在不存在PU时才可以利用未使用的频谱。因此，常规系统的频谱利用非常低。近来，已计划将NOMA以有效方式利用频谱。提议的工作允许SU在不存在的情况下都利用PU频谱。到目前为止，尚未探索NOMA中的频谱感应。因此，在本文中，针对QAM-64和QAM-256设计了基于NOMA的匹配滤波器检测。应用Matlab仿真来研究提议的检测技术在NOMA中的运行情况，涉及多个参数，例如误码率（BER）与信噪比（SNR），检测概率（Pd）和虚警概率（ PFA）。提议的工作允许SU在不存在的情况下都利用PU频谱。到目前为止，尚未探索NOMA中的频谱传感。因此，在本文中，针对QAM-64和QAM-256设计了基于NOMA的匹配滤波器检测。应用Matlab仿真来研究提议的检测技术在NOMA中的运行情况，涉及多个参数，例如误码率（BER）与信噪比（SNR），检测概率（Pd）和虚警概率（ PFA）。提议的工作允许SU在不存在的情况下都利用PU频谱。到目前为止，尚未探索NOMA中的频谱感应。因此，在本文中，针对QAM-64和QAM-256设计了基于NOMA的匹配滤波器检测。应用Matlab仿真来研究提议的检测技术在NOMA中的运行情况，涉及多个参数，例如误码率（BER）与信噪比（SNR），检测概率（Pd）和虚警概率（ PFA）。