Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

Table 3

RMSE Loss with Different Dataset in the Virtual Scenarios.

Dataset	10100R		3232R		10100R and 3232R
RMSE	TL	VL	TL	VL
PL	0.6408	0.9586	4.4932	4.7832	0.1426	0.2004
DM	0.4232	0.4762	1.2986	2.3647	0.3259	0.2014
DS	0.2895	0.3708	1.7822	1.9887	0.1624	0.1865
AAMA	11.0096	13.3897	14.3276	14.4829	0.7684	0.9245
AASA	4.6625	5.6897	17.2259	18.7624	0.2707	0.3033
AAMD	11.8287	13.4187	12.8583	14.6427	0.9199	0.9164
AASD	5.3249	6.3327	21.0490	21.3898	0.2529	0.2961
EAMA	1.3355	1.4970	3.8356	4.8577	0.3482	0.3082
EASA	1.5680	1.8255	3.5929	3.8308	0.4364	0.4765
EAMD	0.8228	0.9298	2.8473	4.3977	0.2890	0.2114
EASD	2.3911	3.0512	2.7861	3.2362	0.8582	0.9428