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Record W2110610645 · doi:10.1145/1143549.1143613

Directional cell breathing

2006· article· en· W2110610645 on OpenAlexaff
Khaled A. Ali, Hossam S. Hassanein, Abd‐Elhamid M. Taha, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsComputer scienceBase stationInterference (communication)Code division multiple accessW-CDMANetwork congestionLoad managementComputer networkEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, we outline the basis of a novel cooperative module for congestion control and load balancing in WCDMA networks. Through carefully exploiting the capabilities of smart and directional antennas, we propose a controllable directional breathing where a base station's (BS) sectorized coverage is varied reactively in instances of congestion, and proactively in instances of exercising load balancing. This proposal, called Directional Cell Breathing (DCB), overcomes the drawbacks of non-sectorized and non-controllable WCDMA breathing management by optimizing the coverage level within each sector under constraints minding sectoral traffic load and interference bounds. Interference analysis is carried out to determine the eligibility of a cell to be considered in DCB if one of its adjacent cells becomes overloaded. This analysis is then used in a mathematical formulation to facilitate the optimization of the proposed scheme.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2006
Admission routes1
Has abstractyes

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