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Record W1967393606 · doi:10.1109/icc.2012.6364454

Distributed beamforming and subcarrier power allocation for OFDM-based asynchronous two-way relay networks

2012· article· en· W1967393606 on OpenAlexaff
Reza Vahidnia, Shahram Shahbaz Panahi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCooperative Communication and Network Coding
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsSubcarrierRelayOrthogonal frequency-division multiplexingComputer scienceBeamformingAsynchronous communicationTransceiverElectronic engineeringMultiplexingChannel (broadcasting)Power (physics)Computer networkTelecommunicationsEngineeringWireless

Abstract

fetched live from OpenAlex

We consider an asynchronous two-way relay network where the signal paths, going through different relays, are subject to different propagation and/or processing delays. Such a relay channel can be viewed as an artificial multi-path channel which causes inter-symbol-interference (ISI). To combat such an ISI, orthogonal frequency division multiplexing (OFDM) is deployed at the two transceivers while the relays are to use simple amplify-and-forward (AF) relaying protocol, thereby realizing a beamformer in a distributed manner. For such a communication scheme, we present two max-min design approaches to obtain jointly optimal subcarrier power loading at the transceivers and distributed beamforming weights at the relays. Numerical examples are presented to compare the performance of the two algorithms.

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.

How this classification was reachedexpand

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: Methods · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.497

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 studies0.0000.000
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 head0.022
GPT teacher head0.271
Teacher spread0.250 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2012
Admission routes1
Has abstractyes

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