Evidence map›Paper›PMID 40640297›Full record

ArticleScientific reports2025

A novel feature-oriented quality of anything (QoX) framework for end-to-end robotic services in 6G networks.

Varvara Mineeva, Abdelhamied A Ateya, Artem Volkov, Ammar Muthanna, Andrey Koucheryavy, Samia A Chelloug, Ahmed A Abd El-Latif

Abstract read
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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Varvara MineevaDepartment of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russia.
Abdelhamied A AteyaEIAS Data Science Lab, College of Computer and Information Sciences, Center of Excellence in Quantum and Intelligent Computing, Prince Sultan University, Riyadh, 11586, Saudi Arabia.
Artem VolkovDepartment of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russia.
Ammar MuthannaDepartment of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russia.
Andrey KoucheryavyDepartment of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russia.
Samia A ChellougDepartment of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Ahmed A Abd El-LatifEIAS Data Science Lab, College of Computer and Information Sciences, Center of Excellence in Quantum and Intelligent Computing, Prince Sultan University, Riyadh, 11586, Saudi Arabia. aabdellatif@psu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sixth-generation (6G) technology is expected to revolutionize mobile communication, fostering the emergence of novel services driven by societal needs. This work explores the potential of 6G in facilitating seamless robotic service delivery. We present a conceptual architecture for offering end-to-end robotic services within a 6G network environment. This architecture considers heterogeneous hardware components, physical data transmission mediums, and microservice-based software content. Building upon existing research, we propose a novel feature-oriented quality of anything (QoX) model that combines existing quality of service (QoS) and quality of consumption (QoC) metrics. The model provides a comprehensive framework for assessing service performance from both the network and user perspectives. This work advances 6G use cases by proposing a first-of-its-kind QoX framework that unifies QoS and QoC for context-aware robotic services.

Indexed as

6G networksEnd-to-end deliveryFeature-oriented QoXHeterogeneous systemsMicroservicesRobotic services

Identifiers

PMID40640297
PMCPMC12246214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.