Service Fault Diagnosis Algorithm of Noise Network under 5G Network Slice

In order to solve the problems of low fault diagnosis accuracy and high false alarm rate in noisy environment, this paper proposes a service fault diagnosis algorithm of noise network under 5G network slice. First, the relationship between the service and the underlying network resources based on the mapping relationship, and fault diagnosis model are established. Secondly, in order to reduce the negative impact of network noise on the fault diagnosis algorithm, the fault propagation model is optimized based on the number of simultaneous faults and the value of the failure rate of each link. Finally, the fault set with the largest interpretation ability is selected as the fault set. In the experimental part, it is verified that the algorithm in this paper improves the accuracy of fault diagnosis and reduces the false alarm rate.