Local Area Data Network for 5G System Architecture

Lee, Jicheol; Moon, Sangjun; Bae, Beom-Sik; Lee, Jinsung

doi:10.1109/5gwf.2018.8516919

Cited by 9 publications

(1 citation statement)

References 2 publications

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“…The 5G system architecture described in [6] was explained, see Figure 1. The data of the user equipment is first sent to the gNB, then the 5G core network, and finally the Internet.…”

Section: G System Architecturementioning

confidence: 99%

Research on the convergence architecture of 5G and industrial communication

et al. 2021

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As the next generation of mobile communication technology, 5G has the characteristics of enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable low latency communication (URLLC), which are critical technologies for the future development of industrie 4.0. So far, these technologies have been explored and applied in industry, however, there is still a lack of general architectures. This paper presents a 5G and industrial communication convergence architecture and elaborates on the implementation methods from the aspects of device access technology and network configuration strategies, and discusses the transparent transmission and mapping methods adopted by 5G terminal access technology as well.

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“…The 5G system architecture described in [6] was explained, see Figure 1. The data of the user equipment is first sent to the gNB, then the 5G core network, and finally the Internet.…”

Section: G System Architecturementioning

confidence: 99%

Research on the convergence architecture of 5G and industrial communication

et al. 2021

View full text Add to dashboard Cite

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Analysis assaulting pattern for the security problem monitoring in 5G‐enabled sensor network systems with big data environment using artificial intelligence/machine learning

Rajawat

Goyal

Bedi

et al. 2023

IET Wireless Sensor Systems

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The 5G‐enabled sensor network systems make it possible to connect cyber and real ‘things’ in many ways. Even so, the flow of data between 5G‐enabled sensor devices brings big data environment problems, such as huge amounts of data, duplicated data, a lack of scalability etc. Some of these problems are as follows. It is hard to keep an eye on 5G‐enabled sensor systems in a ‘big data’ environment. Cyberattacks that could put the safety of the sensor network systems at risk are hard to find, which make the situation even more complicated. The security challenges of 5G‐enabled Sensor Network Systems are studied and analyzed due to some constraints associated with the sensor nodes. The proposed advanced algorithm for securing the 5G‐enabled sensor systems is a Multidimensional big data environment using artificial intelligence/machine learning (AI/ML). Using a structure that depends on both geographical and temporal data, an improved clear point selection operation may get important information from multidimensional time series data that is spread across a wide range of sensor nodes. Therefore, the actions of the 5G‐enabled sensor network can be shown accurately and a complete model of its underlying data structure is built to analysis attacking, pattern on 5G‐enabled Sensor Network Systems using the AI/ML Algorithm.

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