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Record W2969574338 · doi:10.1109/ieee-iws.2019.8804121

Demonstration of Concurrent Dual-Band 1-bit Envelope Delta-Sigma Modulated LTE Radio-over-Fiber Transmission

2019· article· en· W2969574338 on OpenAlexaff
Lara Juras, Xiupu Zhang

Bibliographic record

Venue2019 IEEE MTT-S International Wireless Symposium (IWS) · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsRadio over fiberTransmission (telecommunications)Computer scienceElectronic engineeringModulation (music)Quadrature amplitude modulationQAMLTE AdvancedBit error rateComputer networkEngineeringTelecommunicationsChannel (broadcasting)Telecommunications linkPhysics

Abstract

fetched live from OpenAlex

With the growing demand for cloud radio access networks, mobile fronthaul networks must stay adaptable, efficient and cost-effective. To simplify fronthaul transmission systems, 1-bit delta-sigma modulation (DSM) radio over fiber (RoF) transmission has been considered promising, in which 1-bit DSM technique is used to simplify remote radio units. Moreover, carrier aggregation is a key technique for increasing fronthaul transmission capacity. This work demonstrates, for the first time, concurrent dual-band 1-bit envelope DSM 64-QAM 20-MHz LTE signals transmitted over RoF system. It is shown that carrier aggregation combined with 1-bit delta-sigma modulation is a possible promising technique for high-capacity fronthaul transmission.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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