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Record W2150597136 · doi:10.1109/sibircon.2008.4602629

QoS-oriented multifunctional wireless MAC for remote, rural, and difficult for access areas

2008· article· en· W2150597136 on OpenAlexaboutno aff
Alexander Markhasin, Vera G. Drozdova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceComputer networkArchipelagoWirelessQuality of serviceBandwidth (computing)TelecommunicationsGeography

Abstract

fetched live from OpenAlex

A dramatic challenge of the remote, rural, and difficult for access (RRD) areas is the critical discrepancy of the modern 3G/4G communications centralized architecture with respect to the fully distributed topology of the RRD data streams. In this paper, we systematize the fundamental principles of the new QoS-aware radically distributed (grid-like) multifunctional multiple access control to long-delay wireless medium (MFMAC) which ensures best efficiency and low cost for large-scale RRD areas. The distributed and cooperative MFMAC dynamical control techniques, optimization tasks, and bandwidth resource management strategies are considered also. The proposed radically distributed networking technology will allow an effective supporting and integration of mobile satellite and terrestrial cellular, personal, WLAN, Wi-Fi, WiMAX, and other wireless systems of future generations 4G for such RRD regions, as BRIC (Brasilia, Russia, India, and China), Sea and Oceanpsilas Archipelago, Siberia, North Canada, Alaska, Central and South-East Asia, Latin America, Africa, Australia, etc.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.477

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 head0.046
GPT teacher head0.276
Teacher spread0.230 · 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 designNot applicable
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

Citations5
Published2008
Admission routes1
Has abstractyes

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