Resource Allocation Strategy Using Deep Reinforcement Learning in Cloud-Edge Collaborative Computing Environment

Table 1

Simulation parameters.

Simulation parameters	Value
Bandwidth (MHz)	15
Noise power spectral density (dBm·Hz^−1)	−174
Maximum transmission power (mW)	600
Local maximum computing power (cycle·s^−1)	1 × 10^8
Maximum computing power of MEC single core (cycle·s^−1)	3 × 10^8
Slot length (ms)	1
CPU cycles required for task calculation (cycle·bit^−1)	1760
Task arrival rate (kbit·slot^−1)	{1, 2, 3, 4}