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Table 1 Experimental simulation parameter setting

From: Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment

Parameter

Numerical Value

Maximum transmitting power of vehicle

25 dbm

Task calculation size

22.5 MHz

CPU weeks required for computing tasks

15-25 MB

Gaussian white noise power

1500~3000 Megacycles

Weight factor setting

-106 dbm

Coverage radius of RSU

0.75

Vehicle computing power

1-2GHz

Computing power of MEC server

11.2GHz

Number of uplink transmission channels

10

The number of days of vehicles in a single community

15

Distributed parameter

0.59

Vehicle cache capability

115 MB

Cache capability of MEC server

512 MB

Vehicle moving speed

40 Km/h, 60Km/h

Maximum interruption distance

345 m