Low-Complexity and Power-Efficient Precoding Codebook Design on Sparse Grassmannian
arXiv 2603.02515•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
Paper metadata
- arXiv ID
- 2603.02515
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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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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