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Record W2100102129 · doi:10.1109/icc.2006.255651

Connection Data Rate Optimization of IEEE 802.15.3 Scatternets with Multi-rate Carriers

2006· article· en· W2100102129 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

Venue2006 IEEE International Conference on Communications · 2006
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPiconetComputer scienceComputer networkScatternetRADIUSBluetoothWirelessTelecommunications

Abstract

fetched live from OpenAlex

The IEEE 802.15.3 MAC is designed for high data rate wireless personal area networks (WPANs), in which all communications within a piconet work in a peer-to-peer manner. In this paper, we analyze the link rate distribution of a piconet, and show that the expected piconet link rate for a UWB based 802.15.3 piconet decreases with the piconet radius. Furthermore, the effective scatternet connection rate is defined to optimize the piconet coverage within a scatternet. Analytical and simulation results show that the direct peer-to-peer communications in 802.15.3 bring a huge gain on the expected data rate of intrapiconet links, and a medium sized piconet radius optimizes the scatternet connection data rate given the number of logical channels available.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
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 score0.899
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0080.001
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 head0.117
GPT teacher head0.327
Teacher spread0.210 · 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