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Record W1629215049 · doi:10.1109/momuc.1999.819468

Development of third-generation base stations: challenges and approaches

2003· article· en· W1629215049 on OpenAlexaff
A.K. Salkintzis, Hong Nie, P. Takis Mathiopoulos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSoftware-defined radioBase stationDigital signal processingComputer scienceSoftwareTelecommunicationsDigital radioBase (topology)Computer architectureComputer hardwareOperating system

Abstract

fetched live from OpenAlex

The need for software-defined radios raises a number of technical challenges, which play a significant role in the development of third-generation personal communications systems (PCS). Some of the most important technical challenges deal with analog-to-digital conversion (ADC) and digital signal processing (DSP) technologies, which, in many cases, cannot provide the advanced hardware needed to support the demanding PCS telecommunications services. We discuss these two technical challenges, focusing primarily on base-station radio systems. We first identify the most important requirements for ADC and DSP technologies and we then extensively discuss and/or propose enabling schemes that could relax these requirements and aid the implementation of software radio base stations. Furthermore, we discuss new structures that can support the development of physically distributed base stations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.207

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 science0.0000.000
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 head0.136
GPT teacher head0.214
Teacher spread0.078 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2003
Admission routes1
Has abstractyes

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