MétaCan
Menu
Back to cohort
Record W4412542299 · doi:10.1017/9781316810033.009

Global System for Mobile [GSM]

2017· other· en· W4412542299 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsnot available
Fundersnot available
KeywordsGSMComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The Global System for Mobile is a 2G cellular system standard developed in Europe for overcoming the diversity present in 1G cellular system standards. Although initially adopted by European nations, GSM has become a highly popular technology with a very high user base all over the world. The first GSM system was designed to operate in the 900 MHz band, but owing to increasing demand, it was extended to 850 MHz, 1800 MHz and 1900 MHz bands. Different countries use different GSM variants for operation. Europe, Australia, Middle East, Asia and Africa mostly use GSM 900 and GSM 1800, whereas United States, Mexico, Canada and most countries in South America use GSM 850 and GSM 1900. This 2G cellular system provides voice service and circuit switched data service up to 9.6 kbps. GSM system uses the Gaussian Minimum Shift Keying modulation technique. The access technique used is a combination of TDMA and FDMA. These techniques have already been described in Chapters 2 and 3. This chapter will discuss in depth the architecture, spectrum allocation, interfaces, radio frequency channels, signalling models and basic processes involved in GSM. GSM Architecture Any mobile network can be logically divided into three parts namely the access part, the core part and the maintenance part. The access part of the GSM network is also known as the Base Station Sub-system. It comprises the Base Transceiver Station (BTS) and the Base Station Controller (BSC).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.364
Threshold uncertainty score1.000

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 science0.0060.001
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 head0.031
GPT teacher head0.340
Teacher spread0.308 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicWireless Communication Networks ResearchFrench-language works237,207