EURASIP Journal on Wireless Communications and Networking

Table 5 The average number of beam measurements required for DRL-EE and DRL-SE, respectively, with different trade-off factors \(\alpha\)

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

\(\alpha\)	0.1	0.3	0.5	0.7	0.9
(a) DRL-EE
DRL	4	176	207	442	961
MAB	44	174	254	338	517
MR	1734	1735	1738	1745	1749
RAND	433
A	0
B	206
C	483
D	1051
(b) DRL-SE
DRL	3	106	217	393	1080
MAB	45	144	241	317	495
MR	1818	1804	1803	1811	1819
RAND	451
A	0
B	227
C	506
D	1077

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