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Record W2369323743

Performance Analysis and Improvement of TFRC in Cognitive Radio Environment

2011· article· en· W2369323743 on OpenAlexvenueno aff
Tang Hui

Bibliographic record

VenueMicrocomputer applications · 2011
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceCognitive radioInterference (communication)Channel (broadcasting)Interval (graph theory)HandoverReal-time computingComputer networkTelecommunicationsWireless
DOInot available

Abstract

fetched live from OpenAlex

TCP Friendly Rate Control(TFRC) is one of the transport protocols which can deliver the multi-media efficiently.However,TFRC obtains little attention in cognitive radio environment.In this paper,TFRC is simulated with cognitive radio channels,by considering the impact of three factors: i) spectrum sensing interval,ii) primary users' activity,and iii) channel heterogeneity,and then a feedback way is proposed to improve the performance of TFRC for heterogeneous channel after spectrum handoff.The simulation results show that the sensing interval and primary user interference have a great effect on the performance of TFRC,and also show that the proposed feedback way can enhance the efficiency of TFRC.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.350

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 science0.0000.000
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 head0.010
GPT teacher head0.195
Teacher spread0.185 · 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 designOther design
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

Citations0
Published2011
Admission routes1
Has abstractyes

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