Comparing 5G Network Latency Utilizing Native Security Algorithms

Jacob Snyder, Lucas Hoffer, Bryan Martin, Darren Rogers, V. Kanth
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Abstract

While Fifth Generation (5G) wireless technology promises higher data throughput rates and reduced latency in comparison to previous generations of cellular communications, the addition of encryption between communicating nodes presents potential overhead costs to the system in terms of increased processing time, thereby leading to an increase in network latency. Given that modern Internet of Things (IoT) and Industry 4.0 5G use cases both require exceptional network speed coupled with security, the choice of security algorithms is a critical element. This paper offers a live 5G testbed setup and methodology to analyze measured round trip times between a user device and a 5G network-in-a-box using the four native 128-bit ciphering algorithms as specified by current Third Generation Partnership Project (3GPP) telecommunications standards. We perform these tests using the Amarisoft AMARI Callbox Mini, a 3GPP-compliant 5G network. Our initial findings show there is no statistically significant relationship between enabled ciphering algorithms and latency given one user device and the 5G network core within the Amarisoft 5G ecosystem, though our setup and methodology allow for expanding this research with multiple devices and longer experiment durations to understand how to best balance network latency and security requirements in a complex wireless network.
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利用本地安全算法比较5G网络延迟
虽然与前几代蜂窝通信相比,第五代(5G)无线技术承诺更高的数据吞出率和更低的延迟,但在通信节点之间增加加密会增加系统的处理时间,从而导致网络延迟增加。考虑到现代物联网(IoT)和工业4.0 5G用例都需要卓越的网络速度和安全性,安全算法的选择是一个关键因素。本文提供了一个实时5G测试平台设置和方法,使用当前第三代合作伙伴计划(3GPP)电信标准指定的四种本地128位加密算法,分析用户设备和5G盒中网络之间测量的往返时间。我们使用符合3gpp标准的5G网络Amarisoft AMARI Callbox Mini进行这些测试。我们的初步研究结果表明,在给定一个用户设备和Amarisoft 5G生态系统中的5G网络核心的情况下,启用的加密算法和延迟之间没有统计学上的显著关系,尽管我们的设置和方法允许将这项研究扩展到多个设备和更长的实验持续时间,以了解如何在复杂的无线网络中最好地平衡网络延迟和安全要求。
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