Deploying a Stable 5G SA Testbed Using srsRAN and Open5GS: UE Integration and Troubleshooting Towards Network Slicing

IF 2.6 4区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Big Data Pub Date : 2023-08-03 DOI:10.1109/icABCD59051.2023.10220512

Lusani Mamushiane, A. Lysko, H. Kobo, Joyce B. Mwangama

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引用次数: 0

Abstract

Field trials and experimentation are crucial for accelerating the adoption of standalone (SA) 5G in Africa. Traditionally, only network operators and vendors had the opportunity for practical experimentation due to proprietary systems and licensing restrictions. However, the emergence of open source cellular stacks and affordable software-defined radio (SDR) systems is changing this landscape. Although these technologies are not yet fully developed for complete 5G systems, their progress is rapid, and the research community is using them to test different use cases like network slicing. Building a 5G network is complex, especially in uncontrolled RF environments with fluctuating physical conditions such as noise and interference. This necessitates proper RF planning and performance optimization. The complexity is further compounded by the variety of 5G end-user devices, each with unique configurations and integration requirements. Some devices are network locked and require rooting to connect to a 5G testbed, while others need expert APN configurations or have specific compatibility specifications like sub-carrier spacing (SCS) and duplex mode. Unfortunately, vendors often provide limited information about RF compatibility, making trial-and-error techniques necessary to uncover compatibility details. This paper presents best practices for deploying and configuring a 5G SA testbed, focusing on the integration challenges of consumer-grade devices, specifically 5G mobile phones connected to a 5G testbed. Additionally, the paper offers solutions for troubleshooting integration errors and performance issues, as well as a brief discussion on the realization of basic network slicing in a 5G SA network.

查看原文本刊更多论文

使用srsRAN和Open5GS部署稳定的5G SA测试平台:面向网络切片的UE集成和故障排除

现场试验和实验对于加速非洲独立(SA) 5G的采用至关重要。传统上，由于专有系统和许可限制，只有网络运营商和供应商才有机会进行实际实验。然而，开源蜂窝堆栈和可负担得起的软件定义无线电(SDR)系统的出现正在改变这种情况。尽管这些技术尚未完全用于完整的5G系统，但它们的进展很快，研究界正在使用它们来测试不同的用例，如网络切片。5G网络的建设是复杂的，特别是在不受控制的射频环境中，存在诸如噪声和干扰等波动的物理条件。这就需要适当的射频规划和性能优化。5G终端用户设备的多样性进一步加剧了复杂性，每个设备都有独特的配置和集成要求。有些设备是网络锁定的，需要连接到5G测试平台，而其他设备则需要专业的APN配置或具有特定的兼容性规范，如子载波间隔(SCS)和双工模式。不幸的是，供应商通常提供有关射频兼容性的有限信息，因此需要通过试错技术来发现兼容性细节。本文介绍了部署和配置5G SA测试平台的最佳实践，重点关注消费级设备的集成挑战，特别是连接到5G测试平台的5G移动电话。此外，本文还提供了解决集成错误和性能问题的解决方案，并简要讨论了在5G SA网络中实现基本网络切片的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

9.10

自引率

2.20%

发文量

期刊介绍： Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.