Resource allocation algorithm of 5G edge facilities for intelligent substation monitoring

When 5G slice network is applied to bear intelligent substation monitoring, one can obtain qualified service quality and reduce the slice rental cost, though reasonable and customized virtual network resources allocation among time-sensitive, mobile broadband, and narrow-band sensing services. As a result, the mapping model of electrical service demand onto communication and computing resources of network slices was established, and the mechanism and transformation between them are revealed. Constrained by the transmission bandwidth, time delay and computing resource demand of the electrical multiple services, the economical efficiency optimization problem of electric 5G multi-service network slice is formulated. A joint allocation algorithm of communication and computing resources is proposed to address the issue of efficient and economic resources utilization.