通过5G网络上物联网应用的软件定义多址估计数据流量

Ahmed Alshaflut, V. Thayananthan
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引用次数: 8

摘要

随着5G环境的不同应用,无线连接和流量正在增加。因此,许多研究人员估计,在这些网络中,用户的需求范围越来越大。然而,在未来的无线通信中,流量管理将在满足用户需求方面发挥非常重要的作用。在本研究中,将研究大量数据流量,以便在5G网络上实现最佳物联网应用。因此,提出了用于管理整个网络流量的多个访问模式。此外,本研究的主要目的是提供一种有效的估计技术,用于在多址访问能够处理与5G网络中考虑的大量流量相关的可变延迟和数据优先级时管理流量。因此,它可以在未来基于物联网的5G网络中修改为物联网应用。此外,这项研究将引导我们在5G网络上实施物联网应用的估计流量解决方案。因此,它全面关注从访问步骤到确保服务交付的大型应用程序中的流量问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating data traffic through software-defined multiple access for IoT applications over 5G networks
Wireless Connections and volume of the traffic are increasing with different applications over 5G environments. Thus, many researchers have estimated the increasing range of user's requirements within these networks. However, the traffic management will play a very important role in satisfying the user's needs in future wireless communications. In this research, the massive data traffic will be studied for enabling the best of IoT applications over a 5G network. Thus, the multiple accessing schemas are presented for managing the overall network traffic. Furthermore, the primary aim of this research is to provide an efficient estimation technique for managing traffic when multiple access is capable of handling variable delays and data priorities associated with the large volume of the traffic considered in the 5G networks. Thus, it can be modified to IoT applications within future IoT based 5G networks. Moreover, this research will be leading us to implement an estimated traffic solution for IoT applications over 5G networks. Thus, it comprehensively focuses on the traffic issues within large applications from the accessing steps till assuring the service delivery.
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