AI RESEARCH
TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices
arXiv CS.AI
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ArXi:2605.15656v1 Announce Type: cross Under the trend of multi-waveform coexistence in 6G IoT, intelligent receivers must first identify physical-layer waveform types before performing correct dulation and resource scheduling. However, existing signal identification research largely focuses on symbol-level modulation classification.