Semantic communications target to reliably convey the semantic meaning of messages. It is different from existing communication systems focusing on reliable bit transmission. To achieve the goal of semantic communications, we propose a signal shaping method by minimizing the semantic loss, which is measured by the pretrained bidirectional encoder representation from transformers (BERT) model. The signal set optimization problem for semantic communication systems with a few message candidates is investigated. We propose an efficient projected gradient descent method to solve the problem and prove its convergence. Simulation results show that the proposed method outperforms existing signal shaping methods in minimizing the semantic loss.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Signal Shaping for Semantic Communication Systems with A Few Message Candidates


    Contributors:


    Publication date :

    2022-09-01


    Size :

    1682973 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Signal Shaping and Modulation for Optical Wireless Communication

    Dimitrov, S. / Sinanovic, S. / Haas, H. | British Library Online Contents | 2012


    Signal Shaping and Modulation for Optical Wireless Communication

    Dimitrov, S. / Sinanovic, S. / Haas, H. | British Library Online Contents | 2012


    COMMUNICATION MESSAGE IDENTIFICATION DEVICE AND COMMUNICATION MESSAGE IDENTIFICATION METHOD

    MAEKAWA YOSUKE / SANO SHIGEKI / SAJI HIROAKI et al. | European Patent Office | 2019

    Free access

    Shaping the future of signal simulation

    Lowitz, G. / Hoberg, G. / Hassun, R. et al. | Tema Archive | 1989


    Candidates

    Online Contents | 1996