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Method for Handling Massive IoT Traffic in 5G Networks

机译:5G网络中大规模物联网流量的处理方法

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摘要

The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on narrowband applications. Standards like LTE-A might not provide efficient spectrum utilization when serving IoT applications. The aggregation of IoT data at an intermediate node before transmission can answer the issues of spectral efficiency. The objective of this work is to utilize the low cost 3GPP fixed, inband, layer-3 Relay Node (RN) for integrating IoT traffic into 5G network by multiplexing data packets at the RN before transmission to the Base Station (BS) in the form of large multiplexed packets. Frequency resource blocks can be shared among several devices with this method. An analytical model for this scheme, developed as an r-stage Coxian process, determines the radio resource utilization and system gain achieved. The model is validated by comparing the obtained results with simulation results.
机译:不断增长的物联网(IoT)数据流量是未来移动网络的主要研究重点之一。第三代合作伙伴计划(3GPP)标准(如高级长期演进(LTE-A))已为宽带服务设计。但是,物联网设备主要基于窄带应用。在为物联网应用服务时,诸如LTE-A之类的标准可能无法提供有效的频谱利用。传输之前在中间节点上的IoT数据聚合可以解决频谱效率问题。这项工作的目的是利用低成本的3GPP固定,带内,第3层中继节点(RN),通过在RN处以如下形式传输数据包之前在RN处复用数据包,将IoT流量集成到5G网络中大型多路复用数据包。使用此方法可以在多个设备之间共享频率资源块。通过r级Coxian过程开发的该方案的分析模型确定了无线电资源利用率和所获得的系统增益。通过将获得的结果与仿真结果进行比较来验证模型。

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