Energy-Efficient Group Paging Mechanism for QoS Constrained Mobile IoT Devices Over LTE-A Pro Networks Under 5G

Energy-Efficient Group Paging Mechanism for QoS Constrained Mobile IoT Devices Over LTE-A Pro Networks Under 5G
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DOI:
10.1109/jiot.2019.2928589
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发表时间:
2019-07
影响因子:
10.6
通讯作者:
Shikhar Verma;Y. Kawamoto;N. Kato
Shikhar Verma;Y. Kawamoto;N. Kato
中科院分区:
计算机科学1区
文献类型:
--
作者:
Shikhar Verma;Y. Kawamoto;N. Kato

文献摘要

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蜂窝技术的最新发展,即包括长期演进高级(LTE-A)Pro的5G和5G新无线电承诺增强物联网(IoT)的移动技术。尽管5G的愿景是迎合物联网,但其中一些方面仍然针对人与人(H2 H)通信进行了优化。更具体地说,LTE-A Pro中现有的组寻呼机制尚未明确定义具有不同特征的组、移动物联网设备(MID)的方法,例如具有各种移动性模式的不连续接收(DRX)和数据传输频率(DTF)。MID的不适当分组可能导致能量消耗增加和服务质量降低,特别是在分组到达延迟(PAD)和分组丢失率(PLR)方面。因此,在本文中,我们设计了新的模型来估计MID的PAD、PLR和能量消耗,特别是针对组寻呼机制。基于所提出的模型,我们建立了一个优化问题,目标是最小化MID的能量消耗,同时提供所需的PAD和PLR。利用拉格朗日方法求解非线性凸优化问题,并应用Karush-Kuhn-Tucker条件推导出MID加入群的最优特征,即DRX和DTF。大量的数值结果验证了该方法的有效性,数学模型验证了该方法相对于随机分组方法的优越性。
The latest evolution of cellular technologies, i.e., 5G including long term evolution-advanced (LTE-A) Pro and 5G new radio promises enhancement to mobile technologies for the Internet of Things (IoT). Despite 5G’s vision to cater to IoT, yet some of the aspects are still optimized for human-to-human (H2H) communication. More specifically, the existing group paging mechanism in LTE-A Pro has not yet clearly defined approaches to group, mobile IoT devices (MIDs) having diverse characteristics, such as discontinuous reception (DRX) and data transmission frequency (DTF) with various mobility patterns. Inappropriate grouping of MIDs may lead to increased energy consumption and degraded quality of service, especially in terms of packet arrival delay (PAD) and packet loss rate (PLR). Therefore, in this paper, we devise novel models to estimate PAD, PLR, and energy consumption for MIDs, specifically for the group paging mechanism. Based on the proposed models, we formulate an optimization problem with the objective to minimize energy consumption of MIDs, while providing required PAD and PLR. The nonlinear convex optimization problem addressed herein is solved using the Lagrangian approach, and the Karush–Kuhn–Tucker conditions have been applied to derive optimal characteristics for MIDs to join the group, namely, DRX and DTF. The extensive numerical results presented verify the effectiveness of the proposed method, and the mathematical models demonstrate the superiority of our proposed approach over random grouping approach concerning significant energy consumption of MIDs.