Research Article
Effective Capacity Maximization in beyond 5G Vehicular Networks: A Hybrid Deep Transfer Learning Method
Algorithm 2
Deep learning-based CUE-VUE matching.
1. Initialize statistical information of small-scale fading, locations of CUEs and VUEs, the realization of large-scale fading; | 2. Padding virtual VUEs to the considered network; | 3. Obtain the maximum traffic throughput sustained for each CUE-VUE pair from Algorithm 1; | 4. Calculate the optimal matching scheme as training labels; | 5. Deal with the training samples according to (32); | 6. Deal with the training labels to reduce the sparsity; | 7. Train the FNN parameters with data samples until the loss function converges; | 8. Output the optimal model. |
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