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Record W1960739332 · doi:10.1109/wcnc.1999.797883

Performance of IEEE 802.11 medium access control protocol over a wireless local area network with distributed radio bridges

2003· article· en· W1960739332 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer networkComputer scienceThroughputRayleigh fadingAdditive white Gaussian noiseWireless networkCapture effectWi-FiLocal area networkWirelessChannel (broadcasting)Inter-Access Point ProtocolFadingTelecommunications

Abstract

fetched live from OpenAlex

In this paper, the throughput and access delay performance of a distributed wireless local area network employing the IEEE 802.11 medium access control protocol is analyzed by computer simulations. The proposed network uses the same radio channel over the entire coverage area for wireless terminals to communicate with multiple radio bridges (RBs) with macrodiversity. A channel model with additive white Gaussian noise, log-normal shadowing and Rayleigh fading is considered, with or without capture effect at each receiver. Without capture effect the throughput of a linear network with 4 RBs is improved by at least 120% over that with one RB. With capture effect, the increase in performance with number of RBs is reduced as the capture ratio is increased. A two dimensional network model is also considered and found to have slightly different performance.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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

Quick stats

Citations14
Published2003
Admission routes1
Has abstractyes

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