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Record W2091658142 · doi:10.1109/icc.2013.6655175

Rate-adaptive FSO communication via rate-compatible punctured LDPC codes

2013· article· en· W2091658142 on OpenAlex
Linyan Liu, Majid Safari, Steve Hranilovic

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPuncturingLow-density parity-check codeComputer scienceBit error rateScintillationFree-space optical communicationElectronic engineeringKeyingChannel capacityAdaptive opticsCommunications systemModulation (music)On-off keyingChannel (broadcasting)Decoding methodsPhase-shift keyingOptical communicationTelecommunicationsOpticsPhysicsEngineeringAcoustics

Abstract

fetched live from OpenAlex

In this paper, rate-adaptive free-space optical (FSO) communication is studied using experimental data measured over a 1.87 km terrestrial FSO link in different weather conditions. To accommodate to the channel gain fluctuations induced by atmospheric turbulence and/or weather variations, a rate-adaptive communication system is implemented by puncturing low-density parity-check (LDPC) codes in a rate-compatible fashion. Beside the conventional random puncturing method, an optimized intentional puncturing technique is employed. Using experimental data and on-off-keying (OOK) modulation, the performance of the rate-adaptive FSO system operating at different signaling rates is evaluated. Unlike uncoded OOK, the rate-adaptive technique provides reliable and efficient FSO communication under different weather conditions and scintillation indices. Applying intentional puncturing can further improve the efficiency of the FSO system in terms of throughput.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.210
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it