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Record W2161581927 · doi:10.1109/aina.2006.34

A method for PAPR reduction in MSE-OFDM systems

2006· article· en· W2161581927 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsCommunications Research Centre Canada
FundersState Key Laboratory of Integrated Services Networks
KeywordsOrthogonal frequency-division multiplexingReduction (mathematics)Discrete cosine transformBit error rateComputer scienceBandwidth (computing)Electronic engineeringMean squared errorAlgorithmTransmission (telecommunications)MathematicsTelecommunicationsChannel (broadcasting)EngineeringStatisticsArtificial intelligence

Abstract

fetched live from OpenAlex

High peak to average power ratio (PAPR) of the transmitted signal is a major drawback of multicarrier transmission such as orthogonal frequency division multiplexing (OFDM). This work considers the problem of PAPR reduction in a multi-symbol encapsulated OFDM (MSE-OFDM) system. This paper employs the discrete cosine transform (DCT) to the data sequence. Not only can this method have the same bandwidth efficiency as that of the CP-reduced MSE-OFDM system, but also reduce the PAPR in the MSE-OFDM. Simulation shows that the proposed scheme can significantly reduce the PAPR in MSE OFDM system without increasing the symbol error rate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score0.375

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 science0.0000.000
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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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

Quick stats

Citations19
Published2006
Admission routes1
Has abstractyes

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