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Record W2097715458 · doi:10.1109/glocom.2006.745

WLC23-1: Code Shift Keying Modulation For Low-Rate UWB Communications Under Dense Multipath

2006· article· en· W2097715458 on OpenAlexaff
Serhat Erküçük, Dong In Kim, Kyung Sup Kwak

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGuard intervalComputer scienceBit error rateNetwork packetGuard (computer science)Multipath propagationPhysical layerElectronic engineeringModulation (music)Code rateKeyingReal-time computingComputer networkChannel (broadcasting)WirelessOrthogonal frequency-division multiplexingAlgorithmTelecommunicationsEngineeringPhysicsDecoding methods

Abstract

fetched live from OpenAlex

Fixed guard times considered for the physical layer of the IEEE 802.15.4a standard (low-rate Wireless Personal Area Networks) cause user asynchronism-dependent collisions that affect the instantaneous bit-error-rate (BER) and packet- error-rate (PER) performances in the presence of simultaneously operating piconets (SOPs). Using code shift keying (CSK), the location of the guard times can be randomized yielding the collision event independent of user asynchronism. In this paper, CSK modulation is adopted for the physical layer of the IEEE 802.15.4a standard with a special code design technique, and it is shown that the proposed implementation of CSK stabilizes the instantaneous BER and PER values. Stabilizing the instantaneous BER and PER values prevents worst-case scenarios, where many packets may be lost due to user asynchronism-dependent collisions, and should be carefully considered 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.664

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 head0.021
GPT teacher head0.249
Teacher spread0.227 · 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 designSimulation or modeling
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

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