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Record W2077069772 · doi:10.1109/pimrc.2013.6666607

Robust sensing strategy for dynamic spectrum access in the 2.4 GHz ISM band

2013· article· en· W2077069772 on OpenAlexaff
Narjes Torabi, Shantanu Bhate, Victor C. M. Leung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCognitive Radio Networks and Spectrum Sensing
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsISM bandWhite spacesComputer scienceCognitive radioRadio spectrumTransmission (telecommunications)Frequency bandInterference (communication)Agile software developmentTransmitter power outputComputer networkTelecommunicationsElectronic engineeringWirelessChannel (broadcasting)TransmitterBandwidth (computing)Engineering

Abstract

fetched live from OpenAlex

This paper proposes a robust spectrum sensing strategy to identify white-spaces in the unlicensed 2.4GHz ISM band where radio transmission technologies coexist. Implicitly, collocated networks have different levels of spectrum access priority due to their design parameters (e.g., transmission power, modulation and coding), such that a WLAN tends to achieve a higher access priority compared to a coexisting WPAN. Instead of using a predetermined radio channel in the ISM band, a device can perform dynamic spectrum access using a frequency agile radio to take advantage of spectrum holes that are found between transmissions of collocated networks, thus improving its opportunities to access the ISM band for interference-free transmissions. This paper proposes the dual spectrum sensing strategy for capturing spectrum holes that are wide enough to accommodate the transmissions of a device. Our method makes no assumption about the technologies (e.g., modulation schemes or power spectral density) of detected radio transmissions, and properly handles power variations in the form of gradually changing power values as well as sharp rise/fall edges in the detection of occupied parts of the spectrum. Field test results show that ample white-spaces exist to enable frequency-agile IEEE 802.15.4-based devices to access the ISM band opportunistically.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
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 communication0.0010.001
Open science0.0010.000
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 head0.041
GPT teacher head0.273
Teacher spread0.232 · 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 designSimulation or modeling
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

Citations7
Published2013
Admission routes1
Has abstractyes

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