Table 9 Simulation parameter setting.

From: Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning

Parameters

Retrieve value

Number of V2I links M

4 ~ 128

Number of V2V links K

4 ~ 128

V2I link transmit power \(P^{c} /W\)

0.2

V2V link transmit power \(P^{d} /W\)

[0,0.2]

Carrier frequency \(/GHz\)

2

Bandwidths \(/MHz\)

10

Base station antenna height \(/m\)

25

Base station antenna gain \(/dBi\)

8

Noise power factor \(/dB\)

5

Vehicle antenna height \(/m\)

1.5

Vehicle antenna gain \(/dBi\)

3

Noise power \(/dBm\)

− 114

Vehicle speed \(v/m/s\)

Randomized distribution [5,30]

Gaussian white noise \(\sigma^{2} /dBm\)

− 114

Latency limit \(T/ms\)

100

Mission bandwidth requirements \(b_{k} /Mbps\)

Randomized distribution [5,50]

Task Priority \(p_{k}\)

{1,2,3}

Loading capacity \(L_{k} /Byte\)

Randomized distribution [1,2,…,8] × 1060