Research on Collaborative Networking Method of 5G Slicing and WiFi6 in Substation Scenarios

This paper presents a collaborative networking approach for 5G slicing and WiFi6 in the context of substations. Based on a new switching algorithm of fuzzy logic, it first proposes a speed-adaptive network discovery method, which can automatically adjust the update frequency of the candidate network according to different speeds of mobile terminals, then proposes a pre-judgment mechanism for fast filtering out the candidate network; then describes the switching decision based on fuzzy logic to determine the optimal network and whether to switch. Finally, it describes the switching execution process in the heterogeneous environment of LET network and WIFI network. The method introduces a software architecture for key network elements and mechanisms for network enhancement, optimizing the energy efficiency of both the information and communication systems within the power grid. This optimization leads to an improved service quality in substations. By integrating WiFi terminal access into the 5G private network, the proposed approach achieves unified authentication, management, and rapid service provisioning for wireless local area network (WLAN) users without native 5G capabilities. This integration enhances mobility support for substations. Simultaneously, the method significantly enhances the uplink bandwidth while reducing network deployment and terminal retrofitting costs within substations. This approach facilitates high-speed and stable network connectivity for substations, supporting various applications such as realtime monitoring, data transmission, remote maintenance, and intelligent device management. Consequently, this advancement is anticipated to enhance the efficiency, reliability, and security of substations.