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The Rayleigh Fading Channel Pbkp_rediction via Deep Learning

Abstract:

This paper presents a multi-time channel pbkp_rediction system based on backpropagation (BP) neural network with multi-hidden layers, which can pbkp_redict channel information effectively and benefit for massive MIMO performance, power control, and artificial noise physical layer security scheme design. Meanwhile, an early stopping strategy to avoid the overfitting of BP neural network is introduced. By comparing the pbkp_redicted normalized mean square error (NMSE), the simulation results show that the performances of the proposed scheme are extremely improved. Moreover, a sparse channel sample construction method is proposed, which saves system resources effectively without weakening performances.

Año de publicación:

2018

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Article

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Aprendizaje automático
    • Comunicación

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Dong L.Dong L.
    Jinsong WuJinsong Wu
    Wen H.Wen H.
    Liao R.F.Liao R.F.
    Song H.Song H.
    Pan F.Pan F.