Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy

2026-07-17T08:51:42Za0ffd3ed87431f4d7832056e8023df3e7962e3e277cdd80ed5e6b2a600c50599
5G-NRBCH-codesHARQLDPCbelief-propagationchannel-capacitycoding-theorydecision-theoryerror-correctionfeedback-protocolsfinite-blocklengthgraph-compressiongroup-testingidentification-codesinformation-theoryline-graph-transformlossy-compressionneural-decodingpolar-codesquantum-stabilizer-codesrandom-spherical-codesselectable-thresholdsuncertainty-quantificationuniform-noisevariable-to-variable-coding

What happened

A collection of recent information- and coding-theory papers addressing efficient communication, compression, and decision-making under uncertainty. Highlights include enhanced feedback and scheduling for incremental-redundancy HARQ (polar/5G NR LDPC) that can cut retransmission size by up to ~60%; an exact characterization of capacity and optimizers for additive uniform-noise channels; lecture notes linking uncertainty representation to decision objectives and robust inference methods; a selectable-threshold model for group testing with near-optimal test rates; quasi-belief-propagation and a軽

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
a0ffd3ed87431f4d7832056e8023df3e7962e3e277cdd80ed5e6b2a600c50599
Enrichment time
2026-07-17T08:51:42Z
AI-assisted enrichment
Yes

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