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Record W2097775540 · doi:10.1109/icupc.1997.627185

On the capacity of a cellular DS/CDMA system under slow multipath fading and fixed step power control

2002· article· en· W2097775540 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

VenueProceedings of ICUPC 97 - 6th International Conference on Universal Personal Communications · 2002
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFadingMultipath propagationPower controlComputer scienceCode division multiple accessInterference (communication)Soft handoverFading distributionElectronic engineeringDelay spreadPower (physics)TelecommunicationsHandoverEngineeringRayleigh fadingChannel (broadcasting)Physics

Abstract

fetched live from OpenAlex

In a cellular system, low mobility users' transmitted power can be very accurately controlled by a fixed step power control algorithm. This results in lowering the signal to noise ratio necessary to achieve a given frame error rate (FER). However, accurate tracking of multipath fading has the negative effect of increasing the other-cell interference level during periods of deep fades. In this work, we evaluate the capacity of a direct sequence CDMA system (DS/CDMA) assuming low mobility users and taking into account the increase in the other-cell interference due to perfect tracking of multipath fading. The effect of the number of fading resolvable paths on system capacity is determined and the increase in the capacity due to soft handoff is found for different soft handoff thresholds. Finally we investigate the effect of limiting the maximum transmitted power to compensate for multipath fading and find that a limit of 10 dB results in maximizing the system capacity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.091
GPT teacher head0.271
Teacher spread0.180 · 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