The future demands for Smart Meters (SM) applications impose maximizing resources utilization. In this paper, we achieve two main objectives to comply with fifth-generation networks goals and serving the SM applications. First one is to enhance the Narrowband-Internet-of-Things spectral efficiency. The second is to alleviate the signalling burden during each transmission request for SMs. First, we model the uplink scheduler for the NB-IoT access network using the state-machine modelling methodology on the Simulink environment. The simulation results are verified and validated with trusted modelling technique. Second, we optimize the NB-IoT uplink scheduler, which exploits the periodicity nature of SMs applications. We achieve that by proposing an integrated scheduling protocol which rearranges the transmission times of different smart meters utilities, and it draws a map for the transmission schedule of them to better utilize the sparse time resources. The proposed approach comprises architecture, signalling, and algorithms. We evaluate the optimization in term of numbers of SMs versus four performance indicators; resources utilization, spectral efficiency, setup success percentage, and session drop rate according to a case study. The simulation results prove the ability of our proposal to increase the spectrum utilization to 17.47%. This enhancement reflects on spectral efficiency that improved doubled.

对智能电表（SM）应用程序的未来需求要求最大限度地利用资源。在本文中，我们实现了两个主要目标，以符合第五代网络目标并为SM应用服务。第一个是增强物联网的窄带频谱效率。第二是减轻每个SM的传输请求期间的信令负担。首先，我们在Simulink环境中使用状态机建模方法为NB-IoT接入网络的上行链路调度程序建模。仿真结果采用可信建模技术进行了验证和验证。其次，我们优化了NB-IoT上行调度程序，该调度程序利用了SM应用程序的周期性。我们通过提出一种集成的调度协议来实现这一目标，该协议重新安排了不同智能电表公用程序的传输时间，并且为它们的传输调度表绘制了一张图，以更好地利用稀疏的时间资源。所提出的方法包括体系结构，信令和算法。我们根据SM数量与四个性能指标的比较来评估优化情况；根据案例研究，资源利用率，频谱效率，设置成功百分比和会话丢失率。仿真结果证明了我们的建议能够将频谱利用率提高到17.47％。这种增强反映了频谱效率提高了两倍。信号和算法。我们根据SM数量与四个性能指标的比较来评估优化情况；根据案例研究，资源利用率，频谱效率，设置成功百分比和会话丢失率。仿真结果证明了我们的建议能够将频谱利用率提高到17.47％。这种增强反映了频谱效率提高了两倍。信号和算法。我们根据SM数量与四个性能指标的比较来评估优化情况；根据案例研究，资源利用率，频谱效率，设置成功百分比和会话丢失率。仿真结果证明了我们的建议能够将频谱利用率提高到17.47％。这种增强反映了频谱效率提高了两倍。