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Record W2105550412 · doi:10.1109/twc.2007.05284

Video Services in a Round-Robin Carrier-Hopping Multi-Rate Multi-Carrier DS-CDMA System

2007· article· en· W2105550412 on OpenAlexaff
David Tung Chong Wong, J.W. Mark, K.C. Chua

Bibliographic record

VenueIEEE Transactions on Wireless Communications · 2007
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSubcarrierComputer scienceTelecommunications linkCode division multiple accessComputer networkBit error rateOrthogonal frequency-division multiplexing

Abstract

fetched live from OpenAlex

The type of services and the manner with which multiple access is performed have a tremendous impact on the system capacity. The capacity region for video services Ui the uplink of a round-robin carrier-hopping multi-rate multi-carrier (MC) DS-CDMA cellular system is derived by formulating and analyzing the outage probabilities in terms of bit error rate specifications. The subcarriers of the MC-DS-CDMA system are dynamically allocated to evenly distribute their usage. Three management schemes are used to perform subcarrier allocation: complete sharing (CS), dynamic complete partitioning (DCP) and dynamic complete group partitioning (DCGP). The analytical framework is formulated for the general case in which different traffic classes have different spreading gains in each of the subcarriers. Numerical results show that the capacity of DCGP is larger than that of CS or DCP.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science
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 score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0080.000
Research integrity0.0000.002
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 head0.050
GPT teacher head0.316
Teacher spread0.267 · 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.

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
Published2007
Admission routes1
Has abstractyes

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