Low-Complexity and Power-Efficient Precoding Codebook Design on Sparse Grassmannian
2026-03-04T20:58:21Z•d54b72b06828489193eef2ddc4203a5951914f249e4cb3ea0a730a836b209bab
5G/NRAAV/drone beamformingCAPAEMG wearableGrassmannian codebookISACPAPRSLAMdataset releasedouble-bounce NLoSdrive-test datasetgeolocation datalocalization and mappingon-device ML','MCU','side-channel risks','dataset misuse','sat/\personally identifiable informationphysical-layer securitypolynomial chaosprecodingprivacy riskradio propagationsilent speech recognitionsparse codebooksynthetic apertureuncertainty quantificationwireless communications
What happened
Collection of recent wireless- and signal-processing papers (arXiv) covering sparse Grassmannian precoding codebooks (low-PAPR, low-complexity alternatives to 5G NR codebooks), UQ for radio propagation, a large georeferenced Vienna 4G/5G drive-test dataset (scanner + handset logs + building/terrain models), AFDM equalization, ensemble forecasting for power-quality, Doppler-shift-keying uplink schemes, synthetic-aperture AAV secure beamforming, double-bounce-aware radio SLAM, SilentWear (textile EMG wearable performing on-device silent-speech recognition on an MCU), Ka-band mobile antenna array
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- d54b72b06828489193eef2ddc4203a5951914f249e4cb3ea0a730a836b209bab
- Enrichment time
- 2026-03-04T20:58:21Z
- AI-assisted enrichment
- Yes
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