Quantized Zero-Energy RIS: Residual Phase Modeling and Outage Analysis
2026-04-21T08:51:45Z•0c09aa0f52acc421f522ce8b129bceb9cf1cf2ea62efbf69f6f30e9ea56237c4
6G waveformsAR(p) Gauss–MarkovFASKalman filterLDGM codes','soft-hard BPGD','dynamic parameter scheduling','MARZak-OTFSactive RISanti-jammingchannel interpolationdecoupling architecturedelay-Dopplerenergy harvestingergodic capacityfluid antenna systemsgenerative spatial correlationharvest-and-reflectmutual couplingoutage analysispredictable carriersprojective Reed–Muller codesquadrics over finite fieldsquantized phasereconfigurable intelligent surfacesresidual phase errorzeRIS
What happened
Collection of new arXiv submissions (math/IT) focused on wireless communications, signal processing, and coding theory. Key contributions include: an analytical framework for zero-energy reconfigurable intelligent surfaces (zeRIS) with quantized phase control and joint energy–rate outage/energy-efficiency analysis under harvest-and-reflect (HaR) schemes; a generative AR(p) Gauss–Markov spatial model and Kalman-based interpolation for fluid antenna systems (FAS) to attain MMSE performance with O(N) complexity; classification and exact enumeration results for minimal codewords of projective Reed
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 0c09aa0f52acc421f522ce8b129bceb9cf1cf2ea62efbf69f6f30e9ea56237c4
- Enrichment time
- 2026-04-21T08:51:45Z
- AI-assisted enrichment
- Yes
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