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Main Authors: Zhang, Yida, Liu, Qiuyan, Xia, Yuqi, Xia, Guoxu, Wang, Qiang
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.27270
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author Zhang, Yida
Liu, Qiuyan
Xia, Yuqi
Xia, Guoxu
Wang, Qiang
author_facet Zhang, Yida
Liu, Qiuyan
Xia, Yuqi
Xia, Guoxu
Wang, Qiang
contents To further suppress the inherent self-interference (SI) in co-frequency and co-time full-duplex (CCFD) systems, we propose integrating a stacked intelligent metasurface (SIM) into the RF front-end to enhance signal processing in the wave domain. Furthermore, an end-to-end (E2E) learning-based signal processing method is adopted to control the metasurface. Specifically, the real metasurface is abstracted as hidden layers of a network, thereby constructing an electromagnetic neural network (EMNN) to enable driving control of the real communication system. Traditional communication tasks, such as channel coding, modulation, precoding, combining, demodulation, and channel decoding, are synchronously carried out during the electromagnetic (EM) forward propagation through the metasurface. Simulation results show that, benefiting from the additional wave-domain processing capability of the SIM, the SIM-assisted CCFD system achieves significantly reduced bit error rate (BER) compared with conventional CCFD systems. Our study fully demonstrates the potential applications of EMNN and SIM-assisted E2E CCFD systems in next-generation transceiver design.
format Preprint
id arxiv_https___arxiv_org_abs_2510_27270
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SIM-Assisted End-to-End Co-Frequency Co-Time Full-Duplex System
Zhang, Yida
Liu, Qiuyan
Xia, Yuqi
Xia, Guoxu
Wang, Qiang
Signal Processing
To further suppress the inherent self-interference (SI) in co-frequency and co-time full-duplex (CCFD) systems, we propose integrating a stacked intelligent metasurface (SIM) into the RF front-end to enhance signal processing in the wave domain. Furthermore, an end-to-end (E2E) learning-based signal processing method is adopted to control the metasurface. Specifically, the real metasurface is abstracted as hidden layers of a network, thereby constructing an electromagnetic neural network (EMNN) to enable driving control of the real communication system. Traditional communication tasks, such as channel coding, modulation, precoding, combining, demodulation, and channel decoding, are synchronously carried out during the electromagnetic (EM) forward propagation through the metasurface. Simulation results show that, benefiting from the additional wave-domain processing capability of the SIM, the SIM-assisted CCFD system achieves significantly reduced bit error rate (BER) compared with conventional CCFD systems. Our study fully demonstrates the potential applications of EMNN and SIM-assisted E2E CCFD systems in next-generation transceiver design.
title SIM-Assisted End-to-End Co-Frequency Co-Time Full-Duplex System
topic Signal Processing
url https://arxiv.org/abs/2510.27270