MétaCan
Menu
Back to cohort
Record W3088858156 · doi:10.1109/mcomstd.001.1800030

Multi-Radio Dual Connectivity for 5G Small Cells Interworking

2020· article· en· W3088858156 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 Communications Standards Magazine · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsCentre Casa
Fundersnot available
KeywordsSoftware deploymentInterconnectionComputer scienceBackward compatibilityComputer networkDual (grammatical number)Compatibility (geochemistry)Dual roleCore networkCellular networkDistributed computingTelecommunicationsEngineeringOperating system

Abstract

fetched live from OpenAlex

Dual connectivity was a scheme initially designed in Release 12 of the 3GPP LTE specifications to accommodate a user's interconnection with two cells at the same time, preferably in heterogeneous deployment scenarios. However, the desired non-standalone deployment of 5G technology has given new impetus to the concept of dual connectivity by extending its use to multiple radio technologies, and in particular, for connecting 5G cells to a 4G core network. This article analyzes in depth the Release 15 standard regarding dual connectivity and shows the possibilities that the use of small cell gateways acting as controllers can bring to the simplification of signaling procedures with forward and backward compatibility.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.054
GPT teacher head0.291
Teacher spread0.237 · 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