Paper
10 August 2023 5G interface and access control technology for massive device connection in electric hybrid service scenario
Shuo Yang, Wenbing Lu
Author Affiliations +
Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274831 (2023) https://doi.org/10.1117/12.2689438
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
With the rapid development of new power systems and the stringent communication requirements of electric hybrid services, the 5G interface and access control technologies are required to improve to meet the differentiated demands of low latency, massive connection, and so on. In this paper, we study the 5G interface and access control technology for massive device connection in electric hybrid service scenario. The key 5G interfaces and their functions are firstly introduced. Then, we consider an average access delay minimization problem under the minimum signal-to-noise ratio (SNR) and the maximum delay requirements. A reinforcement learning-based access control algorithm is proposed to learn and dynamically adjust the optimal base station selection strategy to alleviate access congestion and reduce the access delay. Simulation results show the superior performance of the proposed algorithm in the average access delay and collision probability
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Shuo Yang and Wenbing Lu "5G interface and access control technology for massive device connection in electric hybrid service scenario", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274831 (10 August 2023); https://doi.org/10.1117/12.2689438
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KEYWORDS
Control systems

Signal to noise ratio

Data transmission

Switching

Copper

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