Review Article
Machine Learning in Visible Light Communication System: A Survey
Table 2
ML algorithms in channel estimation.
| Method | Ref. | Outcomes |
| ANN | [10] | (1) Simple to use (2) Precision level of up to 97.7% can be obtained |
| Adaptive PBL | [12] | (1) Can estimate real-time indoor VLC channel (2) Require less training time (3) Decrease calculation complexity |
| Bayesian compressive sensing | [13] | (1) It can be used to predict underwater VLC channels (2) Enhance efficiency (3) Increase prediction correctness |
| DNN | [11] | (1) Improve BER without requiring any complicated calculations (2) It has BER performance superior to LS and MMSE algorithms |
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