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Record W4387952039 · doi:10.1109/ojcoms.2023.3320821

Guest Editorial: Special Section on Advancements for 6G

2023· editorial· en· W4387952039 on OpenAlexaff
Ruiqi Liu, Nizar Zorba, Tianqi Mao, Güneş Karabulut Kurt, Marco Di Renzo, Petar Popovski

Bibliographic record

VenueIEEE Open Journal of the Communications Society · 2023
Typeeditorial
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsContext (archaeology)SustainabilityEuropean unionTelecommunicationsPillarWirelessComputer scienceBusinessEngineering

Abstract

fetched live from OpenAlex

What will the wireless networks of the next generation look like? The latest advances in industrial and academic research have shed some light into that direction. With the finalization of the framework recommendation for the 6th generation (6G) networks by the International Telecommunication Union (ITU), the pillar usage scenarios, supporting capabilities and technical enablers are becoming clearer. The overarching motivation for the development of 6G is to continue to build an inclusive information society in a sustainable way. In this context, a range of user and application trends are foreseen to become an integral part of 6G, including ubiquitous intelligence, immersive multimedia and multi-sensory interactions, digital twins, digital health, smart industries, ubiquitous connectivity, integration of sensing and communication, as well as sustainability. It is worth noting that many of the trending demands do not come from the traditional markets for private mobile users and instead, they are driven by strong needs from vertical industries including manufacturing, transportation, and health care.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0170.003
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 head0.062
GPT teacher head0.371
Teacher spread0.309 · 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
GenreEditorial

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

Citations0
Published2023
Admission routes1
Has abstractyes

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