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
Input	Total number of samples (5291)	Result (output)
	Expected output	Predicted positive	Predicted negative
		True positive (TP)	False positive (FP)
	2354 positive	1989	365
		False negative (FN)	True negative (TN)
	2937 negative	104	2833