Efficient evaluation of adaptive digital beamforming for multi-service provision in a cellular CDMA system
Bibliographic record
Abstract
In future wireless communication scenarios, there will be a greater need for multimedia access, with the transfer of data being of at least equal importance to voice communications. Cell capacity in a CDMA communication system can be increased through the use of base station antenna arrays and digital beamforming. We explore cell capacity values for combined services (voice and data) over the reverse link of a CDMA system and investigate the improvements that can be obtained from beamforming. Our simulated and predicted results for bandwidths of 1.2288 MHz (narrowband IS-95) and 4.9152 MHz (wideband CDMA) show good agreement with each other. The wider bandwidth appears to be more appropriate for multi-service provision due to an observed constant data throughput as the number of data mobiles is varied. An increase of approximately 50% in average throughput was observed for 2 elements and 135% for 3 elements, as compared to the single element case for 4.9152 MHz.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".