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In this section, the proposed algorithms are examined and compared by simulations.
The performance of the proposed scheme is evaluated and compared by simulations in Section 5, and finally, Section 6 concludes this paper.
In addition, the proposed scheme (which is not implemented and whose computational complexity is not evaluated) is compared by simulations with the DFT-based method in terms of the obtained BER.
In order to demonstrate the performance of TDA-EDE, it is compared by simulations with NBE [11], EDE [13] and TDA-MUE, which compensates DCO with time domain average approach before estimation of CFO with MUE.
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The performance of different scheduling schemes is compared by simulation in Figure 8.
The proposed controller is compared by simulation with other benchmark controllers proposed in the control literature.
Finally, the proposed approaches are compared by simulation studies of an automated highway system.
Performance of the designed controller is compared by simulation in MATLAB.
Then, the performance of the algorithm is analyzed and compared by simulation according to the practical requirement of cognitive radio.
The following three sets are compared by simulation, as shown in the Table 2. Table 2 Simulation results on different adjustment sets (TWO ELEMENTS) Adjustment set Total throughput (Mb/s) [-0.1, 0.1] 2.8605 [-0.6, 0.6] 3.1007 [-0.7, 0.7] 3.0725.
In particular, a fractional-order PI (or FOPI) controller is designed by loop-shaping, approximated by a rational transfer function, and compared by simulation with an integer order gain-scheduled PI controller.
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