Performance of Amplify-and-Forward Systems with Partial Relay Selection under Spectrum-Sharing Constraints
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article focuses on the performance of a relay system in spectrum-sharing context. We consider that a secondary user (SU) is allowed to share the spectrum band with a primary user (PU) as long as it meets predefined interference constraints set by the PU. We suppose that the SU's transmitter and receiver are unable to communicate directly and, thus, are helped by a set of intermediate terminal nodes to deliver the data from the source to the destination. The relay nodes function using amplify-and-forward (AF) and a single "best" intermediate node is selected among a cluster by means of partial relay selection (PRS) technique to relay the information to the destination. Statistics for the end-to-end signal-to-noise ratio (SNR), namely, the probability density function (PDF) and the moment generating function (MGF), are derived and used next to evaluate the bit error rate (BER) of several modulation schemes. Numerical results and interpretations complete the study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 |
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