School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221000, China.
school of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Sensors (Basel). 2019 Oct 18;19(20):4530. doi: 10.3390/s19204530.
Massive machine-type communication (mMTC) is investigated as one of three typical scenes of the 5th-generation (5G) network. In this paper, we propose a 5G-enabled internet of things (IoT) in which some enhanced mobile broadband devices transmit video stream to a centralized controller and some mMTC devices exchange short packet data with adjacent devices via D2D communication to promote inter-device cooperation. Since massive MTC devices have data transmission requirements in 5G-enabled IoT with limited spectrum resources, the subcarrier allocation problem is investigated to maximize the connectivity of mMTC devices subject to the quality of service (QoS) requirement of enhanced Mobile Broadband (eMBB) devices and mMTC devices. To solve the formulated mixed-integer non-linear programming (MINLP) problem, which is NP-hard, an interference-aware subcarrier allocation algorithm for mMTC communication (IASA) is developed to maximize the number of active mMTC devices. Finally, the performance of the proposed algorithm is evaluated by simulation. Numerical results demonstrate that the proposed algorithm outperforms the three traditional benchmark methods, which significantly improves the utilization of the uplink spectrum. This indicates that the proposed IASA algorithm provides a better solution for IoT application.
大规模机器类型通信（mMTC）被视为 5G 网络的三个典型场景之一。在本文中，我们提出了一种 5G 物联网（IoT），其中一些增强型移动宽带设备将视频流传输到集中控制器，而一些 mMTC 设备则通过 D2D 通信与相邻设备交换短数据包数据，以促进设备间的协作。由于具有有限频谱资源的 5G 物联网中大量的 MTC 设备具有数据传输要求，因此研究了子载波分配问题，以最大化 mMTC 设备的连接性，同时满足增强型移动宽带（eMBB）设备和 mMTC 设备的服务质量（QoS）要求。为了解决该问题，我们提出了一种基于干扰感知的 mMTC 通信子载波分配算法（IASA），以最大化活动 mMTC 设备的数量。最后，通过仿真评估了所提出算法的性能。数值结果表明，所提出的算法优于三种传统的基准方法，显著提高了上行频谱的利用率。这表明，所提出的 IASA 算法为物联网应用提供了更好的解决方案。
