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Record W2114344009 · doi:10.1109/isssta.2004.1371786

Multicarrier DS-CDMA systems with multiple chip waveforms

2005· article· en· W2114344009 on OpenAlexaff
S.P. Sureshkumar, E. Shwedyk, Ha H. Nguyen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of SaskatchewanUniversity of Manitoba
Fundersnot available
KeywordsCode division multiple accessWaveformChipElectronic engineeringMatched filterSpread spectrumComputer scienceTelecommunications linkAdditive white Gaussian noiseAsynchronous communicationInterference (communication)Filter (signal processing)White noiseChannel (broadcasting)TelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The influence of bandlimited multiple chip waveforms on the performance of asynchronous, multicarrier, direct sequence code-division multiple access (MC-DS-CDMA) systems is investigated for the downlink. The performance criterion is the average multiple access interference (MAI) at the output of a matched filter receiver. An additive white Gaussian noise channel is assumed. It is demonstrated that for carrier spacing c = 1/(1 + /spl beta/), using the same chip waveform for all the carriers, minimizes the MAI, i.e, there is no need to assign different chip waveforms to different carriers.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.447

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 communication0.0000.001
Open science0.0020.001
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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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
GenreMethods

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
Published2005
Admission routes1
Has abstractyes

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