New Insights into Channel vs Subspace Codes for Large-Scale Beamspace MIMO Channel Sensing
arXiv 2604.19904•5aac64f71bcb2e48fcdd43b4e525269a2a09aae68727741c187856db3d16be05
BPSKDU-PSISTAGauss–MarkovGolomb rulersISTALSTMXL-MIMOalgebraic signal processingbeamspace MIMOchannel sensingconvolutional beamspacesdeep unfoldingdenoising diffusiondiffusion modelsgroup theoryinvariant transformslocalization dataset','HYMN','multi-technology positioning','Wi‑mobility modelingmulti-scale attentionnoncoherent decodingoptical wireless communicationsketchingsparse recoverysubspace codeswideband channel estimation
Paper metadata
- arXiv ID
- 2604.19904
- 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
- 5aac64f71bcb2e48fcdd43b4e525269a2a09aae68727741c187856db3d16be05
- Enrichment time
- 2026-04-23T08:51:39Z
- AI-assisted enrichment
- Yes
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