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Record W2021109817 · doi:10.1109/isssta.2006.311739

A Unified Perspective of Different Multicarrier CDMA Schemes

2006· article· en· W2021109817 on OpenAlexaff
Yongfeng Chen, E.S. Sousa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubcarrierOrthogonal frequency-division multiplexingCode division multiple accessComputer scienceElectronic engineeringFrequency-division multiple accessChannel (broadcasting)Computer networkTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In the conventional multicarrier CDMA schemes, different users utilize different spreading codes to realize the multiple accessing (which is the CDMA technique) and the bits from the same user are transmitted on different frequency subcarriers to realize the multiplexing (which is the OFDM technique). However, the function of the set of subcarriers and the function of the set of spreading codes can be switched. That is, the bits from the same user are spread with different accessing codes but they are transmitted on the same subcarrier. Based on this idea, we introduce a new multicarrier scheme which is named as CDM-OFDMA. We put the MC-DS-CDMA and CDM-OFDMA schemes into one unified formula format. Their performances are evaluated and compared. Under equal deterministic channel characteristic condition, it is found that the CDM-OFDMA scheme has a better performance than the MC-DS-CDMA scheme. The main reason is that the MAI from the same subcarrier is much bigger than the MAI from other subcarriers and in the CDM-OFDMA scheme the MAI from the same subcarrier is avoided by employing the orthogonal spreading codes

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: none
Teacher disagreement score0.880
Threshold uncertainty score0.256

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 science0.0010.001
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 head0.020
GPT teacher head0.290
Teacher spread0.270 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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