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Record W2039911522 · doi:10.1109/lsp.2014.2378773

Slow Adaptive Power Control and Outage Avoidance in Composite Fading Wireless Channels

2014· article· en· W2039911522 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 Signal Processing Letters · 2014
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsFadingComputer scienceFading distributionPower controlTransmitter power outputPhase-shift keyingWirelessElectronic engineeringChannel state informationPower (physics)Control theory (sociology)TelecommunicationsBit error rateChannel (broadcasting)EngineeringTransmitterRayleigh fadingPhysicsControl (management)

Abstract

fetched live from OpenAlex

Composite fading wireless channels possess both fast and slow fading dynamics. In such channels, the average bit error probability varies slowly over time, hence, it is feasible to harness a power control mechanism to effectively avoid the bit error outage (BEO). In this letter, we focus on a new adaptive power allocation scheme for M-ary phase shift keying ( M-PSK) signals. The proposed power control technique is designed to track the moments of the composite fading envelope. Analytical expressions are derived which provide the optimal transmit power (under long-term power constraint) and the minimum transmit power to cope with the BEO. Numerical results indicate that the transmit power can be potentially decreased depending on the fading gain observed in the coherent and diffuse components of the received signal.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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