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端到端服务质量“智能队列”管理算法和 4G/5G 网络中窄带物联网服务的流量优先级机制。

End-to-End QoS "Smart Queue" Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks.

机构信息

Department of telecommunications, Lviv Polytechnic National University, Bandery 12, 79013 Lviv, Ukraine.

Department of e-Business, School of Business, Economics and Statistics, University of Vienna, A-1090 Vienna, Austria.

出版信息

Sensors (Basel). 2020 Apr 19;20(8):2324. doi: 10.3390/s20082324.

DOI:10.3390/s20082324
PMID:32325795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7219668/
Abstract

This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of the LTE/NB-IoT hybrid technology is applied to ensure the Quality of Service (QoS) from end-to-end. This method considers scheduling traffic/resources on the NB-IoT controller, which allows eNodeB planning to remain unchanged. This paper also proposes a prioritization approach within the IoT traffic to provide End-to-End (E2E) QoS in the integrated LTE/NB-IoT network. Further, we develop "smart queue" management algorithms for the IoT traffic prioritization. To demonstrate the feasibility of our approach, we performed a number of experiments using simulations. We concluded that our proposed approach ensures high end-to-end QoS of the real-time traffic by reducing the average end-to-end transmission delay.

摘要

本文提出了一种改进的长期演进（LTE）移动网络架构，以提供物联网（IoT）服务。这是通过分配窄带宽并将调度功能从 eNodeB 基站转移到 NB-IoT 控制器来实现的。应用了一种用于分配 LTE/NB-IoT 混合技术的上下行资源的方法，以确保从端到端的服务质量（QoS）。该方法考虑了在 NB-IoT 控制器上调度流量/资源，这允许 eNodeB 规划保持不变。本文还提出了一种在物联网流量内进行优先级排序的方法，以在集成的 LTE/NB-IoT 网络中提供端到端（E2E）QoS。此外，我们为物联网流量优先级排序开发了“智能队列”管理算法。为了证明我们方法的可行性，我们使用模拟进行了多项实验。我们的结论是，我们提出的方法通过降低平均端到端传输延迟，确保了实时流量的高端到端 QoS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/e6ec1c7afc0e/sensors-20-02324-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/a3b23e9e4c45/sensors-20-02324-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/ded718f5355e/sensors-20-02324-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/83a1d23afce4/sensors-20-02324-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/d947640a6aa7/sensors-20-02324-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/1c4cb050e8e1/sensors-20-02324-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/e6ec1c7afc0e/sensors-20-02324-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/a3b23e9e4c45/sensors-20-02324-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/ded718f5355e/sensors-20-02324-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/83a1d23afce4/sensors-20-02324-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/d947640a6aa7/sensors-20-02324-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/1c4cb050e8e1/sensors-20-02324-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a3/7219668/e6ec1c7afc0e/sensors-20-02324-g008.jpg

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Sensors (Basel). 2019 Jun 8;19(11):2613. doi: 10.3390/s19112613.
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Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink.用于 LTE 下行链路的服务质量等级标识符 (QCI) 无线资源分配算法。
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