Machine Learning with Variable Sampling Rate for Traffic Prediction in 6G MEC IoT

Table 3

Summary of notations in Section 3.

Symbol	Description
	The total length of time covered by the fast-change zones
	The total length of time covered by the slow-change zones
	Maximum frequencies in the slow-change
	Maximum frequencies in the fast-change
	Average sampling rate
Rs(n)	The sampling rate of time tn
E b	Target prediction error bound
	The system’s highest sampling rates
	The system’s lowest sampling rates
	The output of the model at instant t
	Input gating unit at instant t
	Forgetting gating unit at instant t
C	The internal state
	The hidden state
	Input vector at moment
	The error at time t is defined in LSTM
A c, Af,Ao	The weight values of xt
B c, Bf, Bo	The weight values of mt − 1
b c, bf, bo	The bias parameters
L	The sum of squares of all node errors in the output layer