# Research on the Performance of an End-to-End Intelligent Receiver with Reduced Transmitter Data
## 4 Simulation Result
Since the receiver in the literature of [18] used bit-by-bit decoding, when the intelligent receiver input data with end-crop data lengths of 4, 6, and 8, the last 3 bits of the end of the output data were removed, and only the decoding ability of the intelligent receiver for the first 29 bits of the binary bit data was investigated when the end-crop was applied. From Figure 10(b), we can find that the smart receiver decoding capability approximated the decoding performance with no data cropping, which indicates that the smart receiver could extract information from the missing data for a bit-by-bit recovery when the data was cropped at the end of the transmitter. In addition, for the reduced data at the transmitter side, which contained information from the original binary bit data, the intelligent receiver decoding could not accurately decode the missing part of the data when the number of cuts was high. For the un-missing data, its decoding performance was close to that of the intelligent receiver under the complete data. The above experimental results provide a basis for the subsequent equally-spaced tailoring of the data at the transmitting end. When the number of the transmitter data was reduced by a small amount (e.g., trimmed data two in Figure 6a), the intelligent receiver still had the ability to extract information from the missing data to achieve accurate decoding. In the Rayleigh channel, we cut the data at equal intervals as shown in Figure 10b, and cut the data length into 2, 4, 7, 8, and 14. Taking the cropped data length of 2 in Figure 10b as an example, for a stream of length of 56, it was first divided into two equal parts, and then the end data was cropped by 1. For the other stream, the settings were the same as the above to ensure that the intelligent receiver could extract the data features at the same location. The simulation results are shown in Figure 12 below. When the number of the data cropping was 4, 7 and 8, the decoding performance of the intelligent receiver was close and its decoding performance was much better than that of the conventional receiver. Comparing the cropping number length of 7, and 8, it can be observed that the BER of cropping number 8 was lower than that of cropping number 7. By observing the comparison of the cropped data in Figure 13, we can find the reason for this phenomenon. When the equal interval cropping was performed, the data and parity bits were cropped when the cropped data length was 7, while only the parity bits were cropped when the cropped data length was 8; therefore, the BER of the cropped data length 8 was lower than that of the cropped data length 7. An extreme example was the cropped data length of 14. We can observe that the check bits and data bits containing information in the original data were heavily and regularly cropped; therefore, the receiver decoding effect was the worst when the cropped data length was 14, but its decoding performance was still better than the traditional decoding method, which indicates that the intelligent receiver still had the ability to decode accurately even if the data bits containing information were cropped during the equally-spaced data cropping process. In addition, comparing Figures 11 and 12, although there were differences in the channels, it can still be found that when the data were cropped by the same number, split cropping had a great advantage over end cropping. The reason for this is that split cropping is more regular compared to the end cropping method, and for intelligent receivers, it is easier to extract features from the data to achieve accurate decoding.