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Table 2 An example of the candidate beam database for spatial multiplexing for a \(16 \times 64\) MIMO channel

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

Beam pair no. n

BS beam index p

UE beam index q

Average channel gain \({\overline{\nu }}_{n}\) (dB)

1

18

4

14.39

2

6

1

9.66

3

17

7

8.43

4

62

5

4.83

...

...

...

...

15

16

10

− 36.34

  1. The indices p and q are the beam indices in codebooks \({\mathcal {F}}^{N_{\textrm{TX}}\times N_{\textrm{TX}}}\) and \({\mathcal {W}}^{N_{\textrm{RX}}\times N_{\textrm{RX}}}\), respectively