基于容量最大化的mMTC场景的资源分配问题研究

Research on Resource Allocation of mMTC Scenario Based on Capacity Maximization

文章研究了一种基于容量最大化的大规模机器类通信(massive Machine Type of Communications,mMTC)场景的资源分配算法。以LTE单蜂窝小区为背景,考虑LTE蜂窝用户设备与mMTC设备共存的环境,建立了mMTC场景的两层网络模型,引入mMTC网关(massive Machine Type of Communications Gateway,mMTCG),分析了mMTC场景中mMTCG的发射功率控制策略。在此基础上,以最大化系统容量为目标,使用粒子群优化算法,研究了mMTC场景下带宽与功率资源分配问题。仿真结果表明,文章的算法可以提高系统的容量,功率控制更加符合mMTC场景特点。

This paper studies a resource allocation algorithm for massive Machine Type of Communications(mMTC)scenarios based on capacity maximization.Taking LTE single cell as the background,considering the coexistence environment of LTE cellular user equipments and mMTC equipments,a two-layer network model of mMTC scenario is established,and the transmission power control strategy of mMTC gateway(mMTCG)in mMTC scenario is analyzed by introducing mMTCG.On this basis,in order to maximize the system capacity,the problem of bandwidth and power resource allocation in mMTC scenario is studied by using particle swarm optimization algorithm.Simulation results show that the proposed algorithm can improve the system capacity,and the power control is more in line with the characteristics of mMTC scenarios.