Research Article

Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques

Table 1

Proposed model training during the prediction of 5G congestion (SVM).

Proposed model training

InputTotal number of samples (5291)Result (output)
Expected outputPredicted positivePredicted negative
ā€‰True positive (TP)False positive (FP)
2354 positive1989365
ā€‰False negative (FN)True negative (TN)
2937 negative1042833