Robust Transmission Design for RIS-Assisted High-Speed Train Communication Coverage Enhancement With Imperfect Cascaded Channels
2026-04-20T08:51:40Z•e4ce70c3f00d38e525be5cac17d47db9f69c8a815cdfb6b024594e7938ce8d6c
Bernstein inequalityDoppler resilient sequencesKV cache compressionLEO satellitesRISS-procedureTurboQuantVLSF codeschannel predictioncomplementary sequence setsfinite-blocklengthhigh-speed trainimperfect CSIlossless compressionneural predictorsnoncoherent fading channelsoutage probabilitypredictive delta codingprobabilistic language triesprobability estimationradarreconfigurable intelligent surfacesaddlepoint approximationuser schedulingworst-case rate constraints
What happened
This feed collects new arXiv submissions (20 Apr 2026) spanning communications, coding, compression, and information/control theory. Highlights include: a robust RIS transmission design for high‑speed train coverage under imperfect cascaded BS–RIS–user CSI using S‑procedure and Bernstein inequalities; five constructions of Doppler‑resilient complementary sequence sets for radar/comms; a chained lightweight neural predictor architecture for high‑throughput lossless compression; a rate‑distortion theory for deductive (knowledge‑base) sources; adaptive power allocation and scheduling for LEO sat
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- e4ce70c3f00d38e525be5cac17d47db9f69c8a815cdfb6b024594e7938ce8d6c
- Enrichment time
- 2026-04-20T08:51:40Z
- AI-assisted enrichment
- Yes
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