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Record W2290331499 · doi:10.1109/glocom.2015.7417463

Distributed Space Time Coding for Bit-Interleaved Coded Modulation in Two-Way Relaying Communications

2015· article· en· W2290331499 on OpenAlex

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

Venue2015 IEEE Global Communications Conference (GLOBECOM) · 2015
Typearticle
Languageen
FieldComputer Science
TopicCooperative Communication and Network Coding
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRician fadingComputer scienceDecoding methodsAlgorithmRayleigh fadingRelayBit error rateCoding (social sciences)Space–time codeFadingTheoretical computer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

This paper proposes a design of distributed space-time coding (DSTC) for the multiple access (MA) phase of a two-way relaying communication system. Bit-interleaved coded modulation (BICM) is used by the two terminal nodes and decoding based on the quaternary code representation is adopted at the relay. Based on an upper bound of the error probability, the impact of DSTC on the error performance is analyzed by considering three error types in the MA phase. Specifically, it is shown that type-3 errors need to be carefully taken into account in the design of a DSTC scheme. By developing a performance metric related to type-3 errors, a single parameter can be searched and its optimal value is obtained. To corroborate the analysis and optimization, simulation results are provided to show the advantage of the proposed DSTC scheme over other schemes under both Rayleigh and Rician fading channels.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0090.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.140
GPT teacher head0.372
Teacher spread0.232 · 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