Spectrum efficiency optimization in a cellular packet data communication system
Bibliographic record
Abstract
A simulation model of multiple co-channel interferers in a cellular communication system, for downlink traffic using non-coherent frequency shift keying modulation, is developed and used to investigate the bit error rate (BER) and block error rate (BKER) of the packet data traffic as a function of the number, n/sub I/, of interferers. It is found that for large n/sub I/ the interference signal can be modeled as white Gaussian noise of the same power spectral density (PSD) value. The results are used to determine the spectrum efficiency, E/sub s/, for different system configurations. The optimal value, K/sub opt/ of the cluster size is studied. With no fading or very slow Rayleigh fading, K/sub opt/ is small, typically less than 4. However, K/sub opt/ increases with the Doppler frequency. The use of FEC tends to lower K/sub opt/ but does not necessarily improve E/sub s/.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.003 |
| 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".