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首页> 外文期刊>IEEE transactions on mobile computing >Coverage and Rate Analysis for Facilitating Machine-to-Machine Communication in LTE-A Networks Using Device-to-Device Communication
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Coverage and Rate Analysis for Facilitating Machine-to-Machine Communication in LTE-A Networks Using Device-to-Device Communication

机译：使用设备到设备通信在LTE-A网络中促进机器对机器通信的覆盖率和速率分析

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摘要

With a wide range of applications, Machine-to-Machine (M2M) communication has become an emerging technology for connecting generic machines to the Internet. To ensure ubiquity in connections across all machines, it is necessary to have a standard infrastructure, such as 3GPP LTE-A network infrastructure, that facilitates such type of communications. However, owing to the huge scale of ?> machines to be deployed in near future and the nature of data transactions, ensuring ubiquitous connections among all the machines will be difficult. Solutions that not only maintain connectivity but also route machine data in a cost effective manner are the need of the hour. In this context, it has been suggested that Device-to-Device (D2D) communication can play a very important role in expanding network coverage and routing the data between source-destination machine pairs. In this paper, we conduct a feasibility study to highlight the impact of multi-hop D2D communication in increasing the network coverage and average rate of a Machine Type Communication (MTC) device. We present a stochastic geometry based framework to analyze the coverage probability and average data rate of a three-hop M2M network deployed along with User Equipments (UEs) and conduct extensive simulations to study the system performance. Our simulation results show that the three-hop M2M network formed from out-of-range MTC devices and UEs can significantly improve the coverage and average rate of the entire network. Due to the mobility of users in the network, design of robust routing mechanisms in such a time evolving network becomes difficult. Hence, we suggest the use of space-time graph built from the predicted user locations to design a cost efficient multi-hop D2D topology that enables routing of MTC data to its destination.
机译：机器对机器（M2M）通信具有广泛的应用，已成为将通用机器连接到Internet的新兴技术。为了确保所有机器之间的连接无处不在，必须具有促进此类通信的标准基础架构，例如3GPP LTE-A网络基础架构。但是，由于在不久的将来将部署庞大的？>机器，以及数据交易的性质，要确保所有机器之间无处不在的连接将很困难。不仅需要维护连接性，而且还可以以经济高效的方式路由机器数据的解决方案需要大量时间。在这种情况下，建议设备到设备（D2D）通信在扩展网络覆盖范围和在源－目标计算机对之间路由数据时可以发挥非常重要的作用。在本文中，我们进行了一项可行性研究，以突出多跳D2D通信在增加机器类型通信（MTC）设备的网络覆盖率和平均速率方面的影响。我们提出了一个基于随机几何的框架来分析与用户设备（UE）一起部署的三跳M2M网络的覆盖概率和平均数据速率，并进行广泛的仿真以研究系统性能。我们的仿真结果表明，由超出范围的MTC设备和UE组成的三跳M2M网络可以显着提高整个网络的覆盖范围和平均速率。由于用户在网络中的移动性，在这种随时间变化的网络中设计可靠的路由机制变得困难。因此，我们建议使用从预测的用户位置构建的时空图来设计具有成本效益的多跳D2D拓扑，该拓扑可将MTC数据路由到其目的地。

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