Research on the Performance of an End-to-End Intelligent Receiver with Reduced Transmitter Data

被引:1
|
作者
Wang, Mingbo [1 ]
Wang, Anyi [2 ]
Zhang, Yuzhi [2 ]
Chai, Jing [1 ]
机构
[1] Xian Univ Sci & Technol, Coll Energy Engn, Xian 710054, Peoples R China
[2] Xian Univ Sci & Technol, Coll Commun & Informat Engn, Xian 710054, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 22期
关键词
neural network; intelligent receiver; reduce data; decoding; bit error rate; CHANNEL ESTIMATION;
D O I
10.3390/app122211706
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A large amount of data transmission is one of the challenges faced by communication systems. In this paper, we revisit the intelligent receiver consisting of a neural network, and we find that the intelligent receiver can reduce the data at the transmitting end while improving the decoding accuracy. Specifically, we first construct a smart receiver model, and then design two ways to reduce the data at the transmitter side, namely, end-of-transmitter data trimming and equal-interval data trimming, to investigate the decoding performance of the receiver under the different trimming methods. The simulation results show that the receiver still has an accurate decoding performance with a small amount of trimming at the end of the transmitter data, while the decoding performance of the smart receiver is better than that of the conventional receiver with complete data when the data is trimmed at equal intervals. Moreover, the receiver with equally-spaced data cropping has a lower BER when the data at the transmitter side is reduced by the same data length. This paper provides a new solution to reduce the amount of data at the transmitter side.
引用
收藏
页数:13
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