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Record W2120892741

Performance of quadratic and exponential multiuser chirp spread spectrum communication systems

2013· article· en· W2120892741 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Symposium on Performance Evaluation of Computer and Telecommunication Systems · 2013
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsWestern University
Fundersnot available
KeywordsChirpChirp spread spectrumAdditive white Gaussian noiseRayleigh fadingBit error rateSpread spectrumFadingElectronic engineeringAlgorithmProcess gainDirect-sequence spread spectrumComputer scienceMathematicsTelecommunicationsWhite noisePhysicsChannel (broadcasting)Decoding methodsEngineeringOptics
DOInot available

Abstract

fetched live from OpenAlex

A novel non-linear chirp spread spectrum modulation (CSSM) is introduced for binary data transmission in a multi-user (MU) environment. Two subclasses of non-linear signals namely quadratic (Q-CSSM) and exponential (E-CSSM) modulations are described and their properties are given. The chirp rates in these modulations are varied as a function of user in an MU environment using the orthogonal structure inherent in non-linear chirp signals. A generic MU communication system model that employs non-linear chirp signals is presented and its bit error rate (BER) performance is analyzed in additive white Gaussian noise (AWGN) channel, and Rayleigh and Nakagami-m fading environments as a function of the number of users in the system, signal-to-noise ratio (SNR), and multiple access interference (MAI). An investigation of the trade off between bandwidth and the number of users in the system is provided for both Q- and E-CSSM. Numerical results demonstrate that these proposed modulations with proper chirp rate assignment are very effective in reducing MAI.

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.

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)0.002
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.029
GPT teacher head0.287
Teacher spread0.258 · 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