This paper proposes a deep learning (DL)-based coded waveform design for integrated sensing and communications (ISAC), enabling flexible trade-offs between communication reliability and ranging accuracy in short-block transmissions. The proposed scheme is built upon a practical multiple-input multiple-output orthogonal...
Ming-Cheng Nie, Shuang-Yang Li, Geng Wang et al.· 0 citations
Affine frequency division multiplexing (AFDM) has recently gained significant attention due to its robustness against time-frequency doubly selective channel fading. However, the high computational complexity at the receiver poses a critical challenge for practical deployment. To overcome this issue, we propose a proba...
Shun-Tian Tang, Xin-Yi Wang, Shuang-Yang Li et al.· 0 citations
Conventional orthogonal frequency division multiplexing (OFDM) channel estimation relies on single-tap estimation and time-frequency (TF) interpolation, which becomes unreliable in high-mobility channels because Doppler-induced inter-carrier interference (ICI) invalidates the underlying element-wise TF model. This pape...
Ming-Cheng Nie, Hao Chang, Shuang-Yang Li et al.· 1 citation
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