Generative Channel Knowledge Base With Environmental Information for Joint Source-Channel Coding in Semantic Communications
arXiv 2604.05342•9d6f679de962bb45cb0c618539d0a2eae5eb48e9221c5aca768be981a5ead5ac
AMDS codesBayesian inferenceBlahut-ArimotoGPU accelerationISCSCMDS array codesMDS codesMIMO detectionMIMO/channel estimationROI filteringTDD systemsTGRSTransformerbits-back rejection sampling (BBRS)channel knowledge basedeletion channel capacitydigital twinincidence-multiplicity boundjoint source-channel codingnear-field sensingpilot designrepair bandwidthsemantic communicationstensor-train (TT)vehicular networks
Paper metadata
- arXiv ID
- 2604.05342
- Version
- Not specified by this published record
- Category
- Mathematics — Information Theory (math.IT)
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Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 9d6f679de962bb45cb0c618539d0a2eae5eb48e9221c5aca768be981a5ead5ac
- Enrichment time
- 2026-04-08T08:51:44Z
- AI-assisted enrichment
- Yes
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