MétaCan
Menu
Back to cohort
Record W2145027492 · doi:10.1109/milcom.2001.985930

Modeling and analysis of TCP performance under joint rate and power adaptation in multi-cell multi-rate WCDMA systems

2002· article· en· W2145027492 on OpenAlexaff
Ekram Hossain, Dong In Kim, V.K. Bhargava

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of VictoriaUniversity of Manitoba
Fundersnot available
KeywordsFadingTelecommunications linkComputer scienceMultipath propagationTransmission Control ProtocolBit error rateComputer networkPower controlCode division multiple accessTransmission (telecommunications)Joint (building)Electronic engineeringReal-time computingPower (physics)TelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This paper models and analyzes the performance of TCP (transmission control protocol) under joint rate and power adaptation with constrained BER (bit error rate) requirements for downlink data transmission in a multi-cell VSF (variable spreading factor) WCDMA system. The performance of TCP in a wide area Internet environment is evaluated by using computer simulation considering both random user mobility with uncorrelated shadowing and directional user mobility with correlated shadowing. Since the short-term fading (i.e., multipath fading) changes more rapidly compared to long-term fading (i.e., shadowing), multipath fading is assumed to be independent over successive adaptation intervals. System dynamics under multiple concurrent TCP connections is simulated for both the homogeneous (or uniform) and the non-homogeneous (or non-uniform) traffic load scenarios in a multi-cell environment.

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)0.001
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 score0.535
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.125
GPT teacher head0.287
Teacher spread0.162 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicWireless Communication Networks ResearchFrench-language works237,207