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Channel Modeling of Spaceborne Multiwavelet Packet OFDM System Based on CWGAN

Published: 16 May 2023 Publication History

Abstract

The physical layer of 5G mobile communication adopts the orthogonal frequency division multiplexing (OFDM) technology based on Fast Fourier transform. High peak-to-average power ratio (PAPR) is one of the main problems of OFDM systems, which will cause the nonlinear distortion of high power amplifiers. Due to the orthogonal characteristics of multi-wavelets in the frequency domain and the integral offset characteristics in the time domain, the use of multiwavelet packet based orthogonal frequency division multiplexing (MWPT-OFDM) can reduce the PAPR by reducing subcarriers, which is very suitable for spaceborne communication. The sixth generation (6G) mobile communication system forms an integrated network by deeply integrating the satellite network and the terrestrial network, and the channel modeling based on the satellite communication has become a research hotspot. A novel Conditional Wasserstein Generative Adversarial Network (CWGAN) framework is proposed to solve the channel modeling problem of spaceborne MWPT-OFDM systems. Specically, replacing the generator and discriminator in Wasserstein GAN with convolutional neural networks and using the pilot information of the MWPT-OFDM signal as a condition to model the spaceborne channel. The experimental results show that the proposed channel modeling framework based on CWGAN can successfully approximate the channel distribution of the spaceborne MWPT-OFDM system and the effect is better than Generative Adversarial Network (GAN). The research results shows that the feasibility of spaceborne channels modeling based on GAN and provide a reference for further research on spaceborne channel modeling.

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  1. Channel Modeling of Spaceborne Multiwavelet Packet OFDM System Based on CWGAN

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    cover image ACM Other conferences
    AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
    September 2022
    1221 pages
    ISBN:9781450396899
    DOI:10.1145/3573942
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 16 May 2023

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    Author Tags

    1. 6G
    2. CWGAN
    3. MWPT-OFDM
    4. Wireless channel modeling

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    • National Natural Science Foundation of China?Natural Science Basic Research Program of Shaanxi, China

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