Sustainable Communication Networks Working Group, Faculty of Electrical Engineering, University of Bremen, 28359 Bremen, Germany.
Centre for Wireless Innovation, ECIT Institute, Queen's University Belfast, Belfast BT3 9DT, UK.
Sensors (Basel). 2019 Feb 1;19(3):617. doi: 10.3390/s19030617.
Machine-type communication (MTC) is an emerging communication trend where intelligent machines are capable of communicating with each other without human intervention. Mobile cellular networks, with their wide range, high data rates, and continuously decreasing costs, offer a good infrastructure for implementing them. However, power consumption is a great issue, which has recently been addressed by 3GPP (3rd Generation Partnership Project) by defining power-saving mechanisms. In this paper, we address the problem of modeling these power-saving mechanisms. Currently existing modeling schemes do not consider the full range of states in the discontinuous reception (DRX) mechanism in LTE-A networks. We propose a semi-Markov based analytical model, which closes this gap and shows very good results in terms of predicting performance evaluation metrics, such as the power-saving factor and wake-up latency of MTC devices compared to simulation experiments. Furthermore, we offer an evaluation of the DRX parameters and their impact on power consumption of MTC devices.
机器类型通信(MTC)是一种新兴的通信趋势,智能机器能够在无需人工干预的情况下彼此通信。移动蜂窝网络具有广泛的覆盖范围、高数据速率和不断降低的成本,为实现 MTC 提供了良好的基础设施。然而,功耗是一个大问题,最近 3GPP(第三代合作伙伴计划)通过定义节能机制来解决这个问题。在本文中,我们解决了对这些节能机制进行建模的问题。当前现有的建模方案没有考虑到 LTE-A 网络中不连续接收(DRX)机制的全部状态。我们提出了一种基于半马尔可夫的分析模型,弥补了这一空白,并在预测性能评估指标方面取得了非常好的结果,例如与仿真实验相比,MTC 设备的节能因子和唤醒延迟。此外,我们还对 DRX 参数及其对 MTC 设备功耗的影响进行了评估。