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Record W2095636673 · doi:10.1109/qshine.2005.46

QoS Mechanisms for the MAC Protocol of IEEE 802.11 WLANs

2005· article· en· W2095636673 on OpenAlexaff
J.R. Gallardo, Paúl Medina-Castro, Weihua Zhuang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer networkComputer scienceQuality of serviceDistributed coordination functionInter-Access Point ProtocolIEEE 802.11IEEE 802.11e-2005Scheduling (production processes)IEEE 802.1XIEEE 802IEEE 802.11sNetwork allocation vectorNetwork packetService setMedia access controlAccess controlWirelessWireless networkWi-FiTelecommunicationsWi-Fi arrayEngineering

Abstract

fetched live from OpenAlex

There are two essential ingredients for any telecommunications system to be able to provide quality-of-service (QoS) guarantees: admission control (CAC) and service differentiation. In wireless local area networks (WLANs), it is essential to carry out these functions at the MAC level. The original version of IEEE 802.11 medium access control (MAC) protocol for WLANs does not include either function. The IEEE 802.11e draft standard includes new features to facilitate the provision of QoS, but no specific mechanisms are identified in it to make them possible. This paper introduces specific mechanisms into the relevant MAC protocol to avoid over saturating the medium (via CAC) and to decide how to assign the available resources (via service differentiation through scheduling). The main contributions of this work are a novel CAC algorithm for leaky-bucket constrained traffic streams, an original packet scheduling mechanism called DM-SCFQ, and a performance study of a WLAN including these features.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.248

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 science0.0010.000
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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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 designTheoretical or conceptual
Domainnot available
GenreProtocol

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
Published2005
Admission routes1
Has abstractyes

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