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Record W2771400580

Sum-Power Minimization Under Rate Constraints in Full-Duplex MIMO Interference-Channels.

2017· article· en· W2771400580 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

VenueRWTH Publications (RWTH Aachen) · 2017
Typearticle
Languageen
FieldEngineering
TopicFull-Duplex Wireless Communications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMIMOComputer scienceTransmitter power outputNode (physics)Interference (communication)Channel (broadcasting)Quality of serviceTransmission (telecommunications)PrecodingComputer networkTelecommunicationsTransmitterEngineering
DOInot available

Abstract

fetched live from OpenAlex

We consider a full-duplex (FD) multiple-input multiple-output (MIMO) interference-channel, where multiple pairs of FD nodes coexist in the same network, and hence each node not only suffers from self-interference due to operating in FD mode, but also from co-channel-interference (CCI) from other pairs due to simultaneous transmission at each link. Transmission power expenditure is a significant source for power consumption in communication systems. One way to extend battery life is to utilize power-efficient resource allocation that minimizes the transmit power consumption. Therefore, in this paper we propose a penalty-based algorithm to address the Quality-of-Service (QoS) issue of this FD system where the total transmit power is minimized subject to minimum rate constraints at each node. The algorithm exploits both spatial and temporal freedoms of the source covariance matrices of MIMO links between the nodes to achieve a lower total system power. © 2017 VDE VERLAG GMBH.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.271
Teacher spread0.233 · 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