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Record W2124152261 · doi:10.1109/icupc.1996.557707

A radio-link protocol analysis of integrated CDMA networks a comparison with TDMA

2002· article· en· W2124152261 on OpenAlexaff
I.B. Bdira, A.K. Elhakeem

Bibliographic record

VenueProceedings of ICUPC - 5th International Conference on Universal Personal Communications · 2002
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsFadingTime division multiple accessComputer scienceComputer networkCode division multiple accessThroughputAutomatic repeat requestNetwork packetRadio Link ProtocolChannel (broadcasting)Real-time computingHybrid automatic repeat requestTelecommunicationsWirelessTelecommunications link

Abstract

fetched live from OpenAlex

The delay and throughput performance of a direct sequence CDMA network for integrated voice/data transmission is analyzed and compared to that of a TDMA system assuming various fading channel models. ARQ performance is analyzed for data while FEC using the same encoder is assumed for voice packets. The effect of the load of both classes of traffic on each other's performance is predicted analytically assuming Markovian statistics for data and an interrupted Poisson process model for voice. Numerical results show that CDMA is expected to outperform TDMA for both voice and data in mobile frequency selective fading channels, but results were highly dependent on the fading model adopted.

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 categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0070.001
Research integrity0.0000.001
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 head0.107
GPT teacher head0.350
Teacher spread0.243 · 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
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

Citations3
Published2002
Admission routes1
Has abstractyes

Explore more

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