Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection

2026-07-20T08:51:39Z8f7333d5a70cf5ec12705b4f04aa3f473c412c3d3a9b7284fefd71395872f3fd
6DMADPDIIoTISACOFDMadversarial MLdatasetseavesdroppingenergy monitoringfeature selectiongraph signal processingindustrial controllocalizationmetasurfacemovable antennaneural networkopen-source hardwareprivacy leakagetemporal artificial noisewireless security

What happened

Collection of newly published wireless, signal-processing, and instrumentation research with several security-relevant findings. Key items: a low-complexity feature-selection neural-network DPD for wideband power amplifiers (public datasets released); multiple ISAC works (mode-selectable pinching antennas, DFT-p-FDMA chirp waveform, temporal artificial noise for dual-security in OFDM-ISAC) that propose both new capabilities and new attack/defense techniques (e.g., temporal AN to simultaneously frustrate eavesdroppers and malicious sensing); reconfigurable metasurfaces, 6D movable antennas (6DM

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
8f7333d5a70cf5ec12705b4f04aa3f473c412c3d3a9b7284fefd71395872f3fd
Enrichment time
2026-07-20T08:51:39Z
AI-assisted enrichment
Yes

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