Moments of the Bivariate Fox-H Function Fading Model and Applications to Wireless System Performance Evaluation
Bibliographic record
Abstract
Performance analysis of wireless communication systems is generally based on statistical functions such as the probability density function, the cumulative density function, the moment-generating function, and the Mellin transform. This paper explores an alternative way based on the moment and truncated moment to assess the performance of wireless communication subjected to bivariate Fox H-function fading. First, novel expressions for the generalized moment and the truncated moment are derived. Subsequently, various system performance indicators, namely, amount of fading, channel quality estimation index, ergodic capacity, channel inversion with fixed inversion rate (CIFR) capacity, truncated CIFR capacity, and effective capacity, are obtained by considering the α-η-μ/Inverse-Gamma fading model as a typical representation of the bivariate Fox H-function model. The applicability of the truncated moment approach is further demonstrated via analysis of the block error rate and the delay outage rate performance of short-packet communication.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".