Asymptotic performance analysis of SC over arbitrarily correlated Nakagami-m channels
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Bibliographic record
Abstract
Asymptotic symbol error rate and outage probability are derived for multi-branch selection combining over arbitrarily correlated Nakagami-m fading channels using a new Marcum Q-function approximation. It is shown that asymptotic error rates and outage probability over correlated branches can be obtained by scaling the asymptotic error rates over independent branches with a factor, det <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> (√(R)), where det(√(R)) is the determinant of matrix √(R) whose elements are the square root of corresponding elements in the branch power covariance correlation matrix R.
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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 |
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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