Skip to main content

Table 4 Simulation parameters

From: Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels

Parameters

Values

BS antenna array

8-by-8 URA

UE antenna array

4-by-4 URA

Carrier frequency

30 GHz

No. of subcarriers N

64

No. of NLOS clusters L

20

No. of tracked beam pairs x

3

Channel bandwidth B

100 MHz

Noise variance \(\sigma _{\textrm{n}}^{2}\)

0.1

DRL learning rate \(\eta\)

0.001

DRL discount factor \(\gamma\)

0.9

No. of DRL training episodes

500–2000

MAB step-size \(\eta '\)

0.5

DRL/MAB exploration factor \(\epsilon\)

0.1

DRL mini-batch size

64

Length of DRL experience buffer \({\mathcal {D}}\)

100,000

UE velocity v

1 m/s