The competent class of fifth-generation mobile network used in NB-IoT demands for an extended and efficient massive device to a device communication system that exhibits narrow band with a focus on maximum spectrum resource usage, time and frequency synchronization and minimum out of band leakage. Filter bank multi-carrier with offset quadrature amplitude modulation (FBMC/OQAM) based systems act as a remarkable candidate for the fulfilment of application requirements of NarrowBand Internet of Things (NB-IoT) but suffer high peak to average power ratio (PAPR). Due to the overlapping of signals in the FBMC/OQAM structure, the basic SLM and PTS techniques cannot be applied on FBMC/OQAM systems. Therefore, in this work, a novel, cost-effective and low computation complexity solution SLM-MPC scheme is proposed which utilizes Model Predictive Control (MPC) algorithm for the optimization of PAPR of FBMC/OQAM transmitted signal and a significant reduction in PAPR of the FBMC/OQAM signal has been observed with negligible change in the BER of the system. The mathematical analysis is provided which justifies the simulation results and addresses the effectiveness of the proposed technique achieving a PAPR reduction of 1.61 dB and 1.2 dB for the number of sub-carriers as 128 and 256, respectively in comparison of SLM based FBMC/OQAM system.

NB-IoT中使用的合格的第五代移动网络类别要求将扩展的高效大型设备扩展到显示窄带的设备通信系统，重点是最大的频谱资源使用，时间和频率同步以及最小的带外泄漏。基于偏移正交幅度调制（FBMC / OQAM）的滤波器组多载波系统是满足窄带物联网（NB-IoT）应用要求的出色候选者，但峰均功率比（PAPR）高。由于FBMC / OQAM结构中的信号重叠，因此基本SLM和PTS技术无法应用于FBMC / OQAM系统。因此，在这部作品中，一部小说 提出了一种具有成本效益和低计算复杂度的解决方案SLM-MPC方案，该方案利用模型预测控制（MPC）算法来优化FBMC / OQAM发射信号的PAPR，并观察到FBMC / OQAM信号的PAPR显着降低。系统BER的变化可忽略不计。提供了数学分析，证明了仿真结果的正确性，并解决了所提出技术的有效性，与基于SLM的FBMC / OQAM系统相比，子载波分别为128和256时，PAPR降低了1.61 dB和1.2 dB 。