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This section provides the results of the proposed machine learning-based equalizers for the FBMC system using LSVM, QSVM, and CSVM.

Figure 1.3 BER performance comparison of different equalizers in FBMC system.

Table 1.1 Performance comparison of SVM based FBMC equalizers.

Performance measure	LSVM	QSVM	CSVM
RMSE	0.005951	0.005096	0.0048182
Training Time (s)	86.167	84.591	68.513

In this context, the FBMC system is simulated for 24 subcarriers and 30-time symbols. The prototype filter used is “Hermite” [13]. The results of BER are compared in Figure 1.3, which shows that the proposed SVM based equalizers have better performance than the full block MMSE equalizer of [13]. Moreover, it can be depicted from the results that the CSVM has the best performance among all the proposed methods.

In Table 1.1, the performances of the proposed SVM based equalizers are compared in terms of their testing RMSE and training time in seconds. Again, CSVM is found to be the best among other variants of SVM.