Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection
2026-07-20T08:51:39Z•8f7333d5a70cf5ec12705b4f04aa3f473c412c3d3a9b7284fefd71395872f3fd
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
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.