Coverage Probability Analysis of Heterogeneous Cellular Networks in Rician/Rayleigh Fading Environments
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Bibliographic record
Abstract
This letter analyzes the coverage probability performance of heterogeneous cellular network (HCN) in a Rician/Rayleigh fading environment. First, an exponential-series approximation, potentially converging to the exact value and with reduced computational complexity, is proposed for the desired signal power statistics under Rician fading. Then, an analytical approach for evaluating the coverage probability of HCNs under Rician fading for desired signal and Rayleigh fading for interfering signals is presented and verified through simulation. Numerical results demonstrate considerable improvement in coverage probability when the desired signal is Rician faded, compared to that obtained when it is Rayleigh faded.
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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 | 0.000 | 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