Hyun-Min Yoo;Sang-Yeon Lee;Geon Kim;Jong-Seok Rhee;Een-Kee Hong
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引用次数: 0
摘要
随着mMTC (massive machine-type communication)和工业物联网(industrial Internet of Things, IIoT)中设备数量的不断增加,需要更可靠、更灵活、更智能、更大容量的通信系统。由于机器和工业物联网设备预计将成为超5G (B5G)和6G网络的主要用户,我们应该考虑为mMTC场景量身定制的候选技术。在本文中,我们提出了一种为智能工厂传感器网络量身定制的集成传感和通信(ISAC)新范例,代表了mMTC的关键用例。用于mMTC的ISAC应区别于基于雷达传感的传统ISAC,并能够与其他使能技术协作以增强mMTC系统的性能。在这种情况下,提出的框架通过引入分组层来增强功能,并演示了其与现有ISAC框架的无缝集成。为了在mMTC场景下为ISAC建立一个新的框架,我们重点研究了B5G和6G的两种主要候选技术:专用5G和开放无线接入网络(open RAN, O-RAN)。我们提出了一个利用私有5G基础设施的可靠和安全的传感器网络,并建议一个由O-RAN架构支持的智能数据驱动系统。最后,我们通过展示智能工厂系统的传感器数据监控和预测性维护用例,在我们的测试平台上演示了所提出框架的可行性。
Dedicated communication for sensing: A new use case for private 5G and open RAN for mMTC
The increasing number of devices in massive machine-type communication (mMTC) and the industrial Internet of Things (IIoT) requires more reliable, flexible, and intelligent communication systems with high capacity. As machines and IIoT devices are expected to be the main users of beyond 5G (B5G) and 6G networks, we should consider candidate technologies tailored for the mMTC scenario. In this paper, we propose a new paradigm of integrated sensing and communications (ISAC) tailored for sensor networks in smart factories, representing a key use case for mMTC. The ISAC for mMTC should be differentiated from radar sensing-based conventional ISACs and be capable of collaborating with other enabling technologies to enhance the performance of mMTC systems. In this context, the proposed framework enhances capabilities by introducing a packet layer, and this paper demonstrates its seamless integration into existing ISAC frameworks. To establish a novel framework for ISAC within the mMTC scenario, we focus on two major candidate technologies for B5G and 6G: private 5G and open radio access network (Open RAN, O-RAN). We present a reliable and secure sensor network leveraging private 5G infrastructure and suggest an intelligent data-driven system enabled by O-RAN architecture. Finally, we demonstrate the feasibility of the proposed framework with our testbed by showcasing the sensor data monitoring and predictive maintenance use cases for a smart factory system.
期刊介绍:
The JOURNAL OF COMMUNICATIONS AND NETWORKS is published six times per year, and is committed to publishing high-quality papers that advance the state-of-the-art and practical applications of communications and information networks. Theoretical research contributions presenting new techniques, concepts, or analyses, applied contributions reporting on experiences and experiments, and tutorial expositions of permanent reference value are welcome. The subjects covered by this journal include all topics in communication theory and techniques, communication systems, and information networks. COMMUNICATION THEORY AND SYSTEMS WIRELESS COMMUNICATIONS NETWORKS AND SERVICES.