block error rate concept
| Definition | The fraction of transmitted radio blocks the receiver cannot decode, abbreviated BLER. Chapter 13. Also block error, BLER. |
|---|---|
| Example | Two of ten transmitted blocks undecodable is a block error rate of 0.2. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id block-error-rate, kind concept. |
| Status | no ledger row names this entry. Corrections: 1 item(s), see below. |
| Defining equation | none |
| Assumptions and scope |
|
| Prior art | none recorded |
| Evidence | observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-50, lean/DataMiningAsObservation/BlockErrorRate.lean |
| Reviewed | not yet reviewed; generated 2026-09-10 from records at the commits on the provenance page. |
Equation
none
Conditions
- The fraction of transmitted radio blocks the receiver cannot decode, in the unit interval. A block of n symbols each lost independently with probability q fails with probability one minus one minus q to the n, at most n q, never falling as the block grows, and equal to q for a single symbol.
- The measured rates of the radio track and the refuted refresh law fit against them are the ledger’s numbers, with the sealed sweep’s calibrated baseline as the correction.
Conditions are curated in entries.toml rather than read
from a record.
Ledger
none
First stated
Chapter 13 section 13.4 of Data Mining as Observation, with
the radio freshness track,
observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:20-35,
and the sealed sweep
observation-theory-campaigns/analysis/csi/PREREG-XPROTO-CSI-SWEEP2.md.
Measurements
none
Failures and corrections
observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-50at f7b7c77. The age horizon (analysis/csi/, XPROTO-CSI-SWEEP2 sealed 2026-08-27, graded PASS): at the calibrated 0.10 budget the largest compliant report period is a few TTI at 10 Hz and 1 TTI at 50 Hz and above, so there is no proportionality law to fit. The earlierCSI-refreshfloor.*claim of a floor ≈ 0.177·T_coh (R²=0.915) was an unsealed exploration measured at a relaxed 0.15 threshold against the 0.10 target, with a fresh baseline that never met the budget. It is refuted; the record is kept, not cited. Separately, the optimal linear predictor cannot beat the one-coherence-time wall (Gaussian fading → Wiener optimal), and that wall sits well outside the budget horizon. The RAN governor (analysis/ran) is the reference O-RAN rApp core: observe→measure false-clear→refresh at the floor→escalate (diversity / re-route).
Invariance envelope
none declared
Machine checked
lean/DataMiningAsObservation/BlockErrorRate.lean,
theorems bler_mem_unit, blockFail_le,
blockFail_mono, blockFail_one,
blockFail_zero, at observation-data-mining f3914f0; what
the check covers is stated in the book’s appendix
C.
Used in
Data Mining as Observation primer S.
Related
coherence time; refresh floor; freshness; false-clear rate.
See also
Book equations stated beside the entry’s terms, not defining it: 13.2, 0.25.
Ledger rows that cite the entry’s records without naming it: OT-4, OT-11.
Sources-table rows that share a record with the entry without naming it: chapter 13 section 13.3, chapter 13 section 13.4.
Status
Generated 2026-09-10 by encyclopedia/generate.py; book
at observation-data-mining f3914f0; the commit of every record is listed
in the encyclopedia’s provenance.