Performance Analysis of Fixed Gain Relay Systems With a Single Interferer in Nakagami- $m$ Fading Channels
Bibliographic record
Abstract
We investigate the outage probability and average bit error rate (BER) of a dual-hop fixed gain relaying system in the presence of interference and noise at the relay and destination. Our analysis assumes Nakagami-m fading for the source-relay, relay-destination, and interfering channels. We present new closed-form/series expressions for the outage probability, as well as the average BER. It is concluded that the presence of interference results in a floor point in both outage and BER performance. This floor point holds for signal-to-noise ratio (SNR) values higher than a certain threshold such that the larger the difference between the received powers of the useful and interfering signals, the higher the SNR value at which this floor point commences. Moreover, it is shown that the performance is practically not affected by the Nakagami-m shape parameter of the fading at the interfering link.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".