SINR of antenna array with a large number of interfering users
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Bibliographic record
Abstract
This paper presents analytical and simulation results on the output SINR of an antenna array for M elements and N interfering users in digital cellular system scenarios. The analytical expressions are given for the following three cases: (i) M=N; (ii) M<N; and (iii) a larger number of weak interfering users are involved. It proves that by lumping the interfering signals into Gaussian noise gives the most pessimistic estimate of SINR (signal to interference plus noise ratio) performance. In the case of (iii), a new approximating approach which results in fairly close performance to the real scenarios in certain cases, is proposed for simplicity of analysis and simulation. The simulation results show that, in practice, the output SINR of the antenna array decreases with an increase in N for fixed M even if N<M. Furthermore it is shown that the SINR is sensitive to the INR (interference to noise ratio).
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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