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Record W4311457526 · doi:10.1109/lwc.2022.3211530

Relay-Aided Double-Hop RISs-Empowered Outdoor-to-Indoor Communications

2022· article· en· W4311457526 on OpenAlexaff
Xie Xie, Chen He, Cunyan Ma, Feifei Gao, Z. Jane Wang

Bibliographic record

VenueIEEE Wireless Communications Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Technologies
Canadian institutionsUniversity of British Columbia
FundersNational Natural Science Foundation of China
KeywordsRelayMIMOHop (telecommunications)Computer scienceUpper and lower boundsCommunications systemComputer networkChannel (broadcasting)MathematicsPower (physics)

Abstract

fetched live from OpenAlex

In this letter, we consider a relay-aided double-hop reconfigurable intelligent surfaces (RDH-RISs) empowered outdoor-to-indoor communication system, where two RISs are deployed in a back-to-back manner and connected via a relay that can magnify the signal amplitude. We study system rates under both the single-input single-output (SISO) and general multi-users multi-input multi-output (MU-MIMO) settings. Particularly, we derive the upper bound of the rate under the SISO setting. While under the MU-MIMO setting, we propose a joint optimization algorithm to maximize the weighted sum-rate. Simulation results indicate that RDH-RISs architecture can significantly enhance performance.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0130.004
Research integrity0.0000.002
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 head0.035
GPT teacher head0.277
Teacher spread0.242 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations5
Published2022
Admission routes1
Has abstractyes

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