Innovative Modulation Scheme Using Multiwavelets for Non-orthogonal Multiple-Access Downlink Transceiver
Bibliographic record
Abstract
A novel multiwavelets-based modulation scheme for future non-orthogonal multiple-access (NOMA) downlink transceivers is proposed in this paper. In our proposed new NOMA transceiver architecture, the multiwavelets with spectral diversity are exploited to modulate/demodulate the superimposed multiuser signals. The inverse discrete multiwavelet transform/discrete multiwavelet transform (IDMWT/DMWT) is invoked in the base station (and the user equipment) to facilitate new NOMA communication systems. A link-level performance evaluation of our proposed new multiwavelets-based NOMA scheme is conducted. Simulation results demonstrate that our proposed novel multiwavelets-based modulation/demodulation technique can improve the peak-to-average-power ratio (PAPR) performance remarkably over the existing OFDM-based and scalar-wavelet-based NOMA systems subject to the identical bit-error rate condition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".