MétaCan
Menu
Back to cohort
Record W1994473001 · doi:10.1109/icc.2006.255392

Effects of Code Design on the Spectral Characteristics of MCSK Based Impulse Radios

2006· article· en· W1994473001 on OpenAlexaff
Serhat Erküçük, Dong In Kim

Bibliographic record

Venue2006 IEEE International Conference on Communications · 2006
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsSimon Fraser University
FundersInha University
KeywordsComputer scienceCode rateCode (set theory)Time-hoppingImpulse radioConstant-weight codeSpectral efficiencyElectronic engineeringSpectral densityTelecommunicationsSet (abstract data type)Ultra-widebandConcatenated error correction codeDecoding methodsEngineeringBlock code

Abstract

fetched live from OpenAlex

This paper investigates the effects of code design on the power spectral density (PSD) characteristics of M-ary code shift keying (MCSK) based impulse radios (IRs) used in ultra wideband (UWB) communications. MCSK based IRs are modified IRs that were designed to increase the data rate by randomly selecting a time hopping (TH) code from a set of M distinct TH codes per user. This selection results in increased effective TH code period, which helps smoothing the continuous spectrum and suppressing the discrete spectral components. In combination with the random code selection, design of the TH code set for each user is very important for spectrum shaping and multiple access (MA) capability, and is studied in detail in the paper. Accordingly, the trade-off between efficient spectrum shaping and MA capability is discussed for different code design criteria, which should be carefully addressed for real system implementation.

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.

How this classification was reachedexpand

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.563

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 science0.0020.000
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 head0.040
GPT teacher head0.268
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same venue2006 IEEE International Conference on CommunicationsSame topicUltra-Wideband Communications TechnologyFrench-language works237,207