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Record W2140102464 · doi:10.1109/wpmc.2002.1088153

An adaptive downlink spread spectrum OFDM packet data system with two-dimensional radio resource allocation: performance in low-mobility cellular environments

2003· article· en· W2140102464 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
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRetransmissionComputer scienceOrthogonal frequency-division multiplexingThroughputComputer networkTelecommunications linkFadingNetwork packetTime diversityMultipath propagationChannel (broadcasting)Resource allocationReal-time computingTelecommunicationsWireless

Abstract

fetched live from OpenAlex

In multipath mobile radio channels, fading is both frequency selective and time varying The SS-OFDM-F/TA system allocates time and frequency resources adaptively to provide high bit rate services on the downlink to low-mobility users. Multiuser diversity is employed in this system so that users receive data packets only when conditions are favorable. It is shown that fast best sector selection (1 Hz) provides significant throughput gains in severely shadowed environments. Further, asynchronous retransmission of packets increases the data throughput of the system in comparison to synchronous m-transmissions with only a small increase in packet delay. In a highly frequency selective channel, the allocation of single sub-bands is compared with the allocation of groups of narrower disjoint sub-bands.

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 categoriesMeta-epidemiology (narrow)
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 score0.407
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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

Citations4
Published2003
Admission routes1
Has abstractyes

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