In frequency-division duplex massive multiple-input multiple-output (MIMO) systems, the user equipment (UE) must convey high-dimensional downlink channel state information (CSI) under a stringent finite-bit feedback budget. Deep learning (DL) has emerged as a powerful tool for CSI compression due to its ability to capt...
Chao Zhang, Cheng Luo, Lu-Ping Xiang et al.· 0 citations
Orthogonal frequency-division multiplexing (OFDM) is a key waveform for integrated sensing and communication (ISAC). Existing OFDM ambiguity analyses, however, typically assume fully occupied data-only waveforms, whereas practical frames contain direct-current and edge-guard nulls, fixed pilots, and random payload symb...
An analytical and optimization framework for pilot-data (P-D) OFDM sensing is established and when and how pilot placement can be exploited to regulate the sensing behavior of random OFDM communication signals is revealed, providing practical resource-design principles for OFDM-based ISAC.
Sheng-Cai Zhou, Lu-Ping Xiang, Yi Wang et al.· 0 citations
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