The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems

IF 3.3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
D. Sabella, Davide Micheli, G. Nardini
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引用次数: 0

Abstract

The evolution of communication systems always follows data traffic evolution and further influences innovations that are unlocking new markets and services. While 5G deployment is still ongoing in various countries, data-driven considerations (extracted from forecasts at the macroscopic level, detailed analysis of live network traffic patterns, and specific measures from terminals) can conveniently feed insights suitable for many purposes (B2B e.g., operator planning and network management; plus also B2C e.g., smarter applications and AI-aided services) in the view of future 6G systems. Moreover, technology trends from standards and research projects (such as Hexa-X) are moving with industry efforts on this evolution. This paper shows the importance of data-driven insights, by first exploring network evolution across the years from a data point of view, and then by using global traffic forecasts complemented by data traffic extractions from a live 5G operator network (statistical network counters and measures from terminals) to draw some considerations on the possible evolution toward 6G. It finally presents a concrete case study showing how data collected from the live network can be exploited to help the design of AI operations and feed QoS predictions.
数据的力量:流量需求和数据分析如何推动网络向6G系统发展
通信系统的发展总是伴随着数据流量的发展,并进一步影响着打开新市场和服务的创新。虽然5G部署仍在各国进行中,但数据驱动的考虑因素(从宏观层面的预测中提取,对实时网络流量模式的详细分析,以及终端的具体措施)可以方便地提供适合多种用途的见解(B2B,例如运营商规划和网络管理;以及B2C(例如,更智能的应用程序和人工智能辅助服务),从未来6G系统的角度来看。此外,来自标准和研究项目(如Hexa-X)的技术趋势也随着行业的发展而变化。本文首先从数据的角度探讨了多年来的网络演变,然后通过使用全球流量预测,并辅以实时5G运营商网络的数据流量提取(统计网络计数器和终端测量),对可能向6G发展的一些考虑,展示了数据驱动见解的重要性。最后给出了一个具体的案例研究,展示了如何利用从现场网络收集的数据来帮助设计人工智能操作和提供QoS预测。
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
Journal of Sensor and Actuator Networks
Journal of Sensor and Actuator Networks Physics and Astronomy-Instrumentation
CiteScore
7.90
自引率
2.90%
发文量
70
审稿时长
11 weeks
期刊介绍: Journal of Sensor and Actuator Networks (ISSN 2224-2708) is an international open access journal on the science and technology of sensor and actuator networks. It publishes regular research papers, reviews (including comprehensive reviews on complete sensor and actuator networks), and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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