论文标题
物联网覆盖范围增强使用能源约束设备中的重复：一种分析方法
IoT Coverage Enhancement using Repetition in Energy Constrained Devices: an Analytic Approach
论文作者
论文摘要
新颖的互联网（IoT）访问技术正在成为下一代蜂窝网络的一部分。这些技术专门针对远离其服务基站的能量限制的物联网设备。实现深层覆盖的关键方法之一是通过重复传输数据。但是，重复会导致更高的能源消耗，并减少设备少量的时间。因此，存在覆盖范围和能源消耗之间的权衡，需要仔细调查。本文评估了传输重复对增强覆盖率和产生能量成本的影响。使用基于流量负载和距离基站的设备距离的经验重复配置文件，我们为使用两种不同多样性组合技术的物联网链接的覆盖范围概率和能量配置文件模型。特别是，我们专注于两个共同的多样性组合： （i）组合（SC）和（ii）最大比率组合（MRC）的选择。我们利用来自随机几何形状的工具来制定一个分析框架，该框架比较了这两种组合方法。该框架可以帮助网络设计师共同最大化网络覆盖范围，同时最大程度地减少设备的能源消耗。
Novel Internet-of-Things (IoT) access technologies are emerging as part of the next generation cellular networks. These technologies are specifically oriented towards energy-limited IoT devices that are scattered far away from their serving base station. One of the key methods of achieving deep coverage is via repeated transmissions of data. However, repetition leads to higher energy consumption and reduces the device battery-lifetime. Thus, a trade-off between coverage and energy consumption exists and requires careful investigation. This paper evaluates the effects of transmission repetition on enhancing the probability of coverage and the cost of the incurred energy. Using an empirical repetition profile based on traffic load and device distance from the base station, we derive the coverage probability and energy profile models for IoT links that utilize two different diversity combining techniques. In particular, we focus on two common diversity combining that are; (i) Selection Combining (SC), and (ii) Maximal Ratio Combining (MRC). We utilize tools from stochastic geometry to formulate an analytic framework that compares these two combining methods. This framework can aid network designers in jointly maximizing the network coverage while minimizing the energy expenditure of devices.
