Application of smart antenna techniques in cellular mobile systems
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.
Bibliographic record
Abstract
The proliferating demand for cellular mobile radio services, and the relatively scarce resource of frequency spectrum provide the need for a fundamental improvement in spectrum efficiency of the new generation cellular mobile radio systems. The switched-beam smart antenna is more attractive when compared to the adaptive null steering, phased array smart antennas. In this paper, a theoretical approach is adopted to ascertain the performance improvement of multi-beam antennas, in which the fading and shadowing models are included. Numerical results of the outage probability under different values of protection ratios and co-channel reuse factors are provided. It is shown that a marked improvement in spectrum efficiency is achieved by reducing the co-channel interference level with adaptive multi-beam antennas employed at the base-stations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it