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Record W2024925628 · doi:10.1109/mwc.2014.6845057

Green radio communications in a heterogeneous wireless medium

2014· article· en· W2024925628 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 Wireless Communications · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceTelecommunications linkComputer networkBase stationWireless networkTelecommunicationsWirelessRadio resource managementMobile telephonyFadingBandwidth (computing)Cellular networkEfficient energy useQuality of serviceMobile radioElectrical engineeringChannel (broadcasting)Engineering

Abstract

fetched live from OpenAlex

Recently there has been a growing interest in developing energy efficient wireless communication networks, due to environmental, financial, and quality-of-experience considerations, for both mobile users and network operators. The developed solutions in this regard are referred to as green communications, so as to reflect the importance of their environmental dimension. Great potential for energy efficient communications lies in today's heterogeneous wireless medium with overlapped coverage from different networks, given the vast diversity in fading channels and propagation losses among mobile terminals and base stations, and in available resources and operating frequency bands at different networks. In such a networking setting we propose a joint bandwidth and power allocation approach for uplink and downlink communications that can promote energy savings for both mobile users and network operators. We discuss several challenging issues, including design and implementation issues. In addition, we present a case study of uplink communications for illustration purposes.

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: none
Teacher disagreement score0.818
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.024
GPT teacher head0.263
Teacher spread0.238 · 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