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
相关论文
共 50 条
  • [41] End-To-End Data Characteristics Monitoring for MLOps
    Jubju, Natnaree
    Nupairoj, Natawut
    2024 21ST INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING, JCSSE 2024, 2024, : 280 - 285
  • [42] Towards an End-to-End Data Quality Optimizer
    Restat, Valerie
    Klettke, Meike
    Stoerl, Uta
    2024 IEEE 40TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, ICDEW, 2024, : 262 - 266
  • [43] End-to-end performance analysis with traffic aggregation
    Ferrari, T
    COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING, 2000, 34 (06): : 905 - 914
  • [44] Opportunistic Networks: end-to-end performance analysis)
    Santos, Rodrigo
    Orozco, Javier
    2011 BRAZILIAN SYMPOSIUM ON COMPUTING SYSTEM ENGINEERING (SBESC), 2011, : 90 - 92
  • [45] Euclid end-to-end straylight performance assessment
    Venancio, Luis M. Gaspar
    Pachot, Charlotte
    Carminati, Lionel
    Alvarez, Jose Lorenzo
    Amiaux, Jerome
    Prieto, Eric
    Bonino, Luciana
    Salvignol, Jean-Christophe
    Short, Alex
    Boenke, Tobias
    Strada, Paulo
    Laureijs, Rene
    SPACE TELESCOPES AND INSTRUMENTATION 2016: OPTICAL, INFRARED, AND MILLIMETER WAVE, 2016, 9904
  • [46] End-to-end performance of WCDMA enhanced uplink
    Peisa, J
    Ekström, H
    Hannu, H
    Parkvall, S
    VTC2005-SPRING: 2005 IEEE 61ST VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS, 2005, : 1432 - 1436
  • [47] LDACS End-to-End ATN/IPS Performance
    Haindl, Bernhard
    Prinz, Richard
    Rihacek, Christoph
    Kurz, Stefan
    Meser, Josef
    Graeupl, Thomas
    Zaisberger, Michael
    Arthaber, Holger
    2024 INTEGRATED COMMUNICATIONS, NAVIGATION AND SURVEILLANCE CONFERENCE, ICNS, 2024,
  • [48] End-to-end TCP performance in WCDMA/UMTS
    Chahed, T
    Canton, AF
    Elayoubi, SE
    2003 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5: NEW FRONTIERS IN TELECOMMUNICATIONS, 2003, : 71 - 75
  • [49] HIGH QUALITY END-TO-END LINK PERFORMANCE
    Wuebben, Dirk
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2009, 4 (03): : 26 - 32
  • [50] End-to-End Performance Evaluation of SLP Waveforms
    Krivochiza, Jevgenij
    Duncan, Juan Carlos Merlano
    Querol, Jorge
    Chatzinotas, Symeon
    IEEE ACCESS, 2023, 11 : 127402 - 127410