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Record W2165361939 · doi:10.1109/vetecf.2007.121

Generalized Cyclic Delay Diversity for Orthogonal Frequency Division Multiplexing

2007· article· en· W2165361939 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

VenueIEEE Vehicular Technology Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingDiversity schemeFadingAlgorithmComputer scienceMultiplexingFrequency-division multiplexingCoding (social sciences)MathematicsControl theory (sociology)Electronic engineeringTelecommunicationsDecoding methodsEngineeringStatistics

Abstract

fetched live from OpenAlex

In this paper, we propose a generalized version of cyclic delay diversity (CDD) which is a popular form of space-frequency coding for multi-antenna orthogonal frequency division multiplexing (OFDM) systems. In this generalized CDD (GCDD) the cyclic delays of CDD are replaced with cyclic diversity filters. Assuming bit-interleaved coded modulation (BICM) for forward error correction, we derive an optimization criterion for the GCDD filters and a gradient algorithm for finding the optimum filters. For certain special cases we also provide a closed-form solution for the optimum filters. Simulation results confirm that GCDD can achieve significant performance gains for conventional CDD, especially in spatially correlated fading.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.430
Threshold uncertainty score1.000

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)0.0000.000

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 head0.026
GPT teacher head0.269
Teacher spread0.244 · 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