Generative Channel Knowledge Base With Environmental Information for Joint Source-Channel Coding in Semantic Communications
2026-04-08T08:51:44Z•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
What happened
Batch of recent arXiv submissions (communications/coding/information theory) covering: a generative channel knowledge base (CKB) that incorporates environmental information for JSCC/semantic communications using a Transformer and ROI filtering (channel estimation error ~1e-3, improved end-to-end performance); construction of extended twisted GRS (TGRS) codes giving new non-GRS MDS and AMDS codes and analysis of covering radii/deep holes; a refined incidence-multiplicity lower bound for linear exact repair in MDS array codes (sharper repair-bandwidth and I/O limits, achievable in broad regimes)
Why it matters
A reviewed impact interpretation has not been published for this record.
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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