MétaCan
Menu
Back to cohort
Record W2163693360 · doi:10.1109/vtcf.2006.196

Broadband Wireless Access Interference and Capacity Estimation

2006· article· en· W2163693360 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

VenueIEEE Vehicular Technology Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsEricsson (Canada)
Fundersnot available
KeywordsComputer scienceComputer networkOrthogonal frequency-division multiplexingInterference (communication)Broadband networksThroughputTelecommunications linkWireless broadbandBase stationSoft handoverTransmitter power outputWireless networkBroadbandOrthogonal frequency-division multiple accessFrequency-division multiple accessWirelessTelecommunicationsTransmitterChannel (broadcasting)

Abstract

fetched live from OpenAlex

The performance of an IEEE 802.16 based OFDMA network is simulated employing real geographical and base station data. The effects of soft handover, smart antennas, and transmit diversity on system performance are presented. In particular, the relationship between power control and adaptive modulation is investigated and shown to reduce the uplink interference considerably, thus improving the coverage and the capacity of the network. The differences between the interference characteristics of OFDM and OFDMA based operations are also presented. The reasons for dropped calls and a throughput analysis for a typical OFDMA network are also discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.947

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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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