… and output is the actual faults in networks which are the faults determined from CHNN output.
In … include deep learning, data center optical networks, traffic prediction, and fault location. …

… ) in the mobile IoV networks can be improved. However, the … To realize the real-time analysis
of the OP performance, an … fault prediction,” IEEE Access, vol. 7, pp. 11736–11746, 2019. …

… heterogeneous wireless networks… network slices, and in case of any slice failure in the
network. In our proposed DeepSlice model in Fig. 4a, we predict the network load of each network …

… for cellular networks and evaluate its performance with real … to the number of features for
regression problems. It supports … will test different prediction algorithms (eg, neural networks) …

… He noted, for example, that new reliability analysis tools are … For prediction purposes, we
seek to predict the responses for … , which build failure models based on the detailed analysis of …

… , we investigate the wireless transmission reliability of the … system, which can predict the OP
performance in real time. The … [24] CM Lin and EA Boldbaatar, “Fault accommodation control …

… , the power grid and the mobile electricity storage device … the failure probability of a gas
supply in a reliability analysis of a … communications networks to predict effectively the failure of …

… Analysis of Literature Data and Problem Statement One of the unresolved problems in 5G
wireless … is grasped to be executed in the wireless networks. The proposed approach is …

… To address these open problems, we develop a multi-level … To analyze the prediction error
probability, we can use a … We consider a wireless network with 5G New Radio, where two …

… The original optimization problem is decomposed into N single-user problems. To solve …
To validate whether mobility prediction works for URLLC in practice, we record the real …