Capacity versus interference in OFDM-based cognitive radio systems with beacon
Bibliographic record
Abstract
We consider an OFDM-based cognitive radio network where a secondary user chooses parallel sub-channels from different primary users' bands to form its transmission link. It transmits one OFDM subcarrier per each sub-channel. Before starting its transmission, a primary user sends a beacon to inform the secondary user. If the secondary user receives this message, it does not use any sub-channel from that primary user band for its transmission in order to limit the interference to the primary receiver. However, it is possible that the secondary user misses the beacon of a primary user because of the channel fading and hence, considers the sub-channels of that primary user for its transmission. We are interested in the total interference caused by the secondary user to primary users' receivers and the total capacity of the secondary user. In particular, we provide the average of total interference as well as an analytical lower bound on the mean of the capacity. The trade-off between the capacity and the interference is useful in the design of an OFDM-based cognitive network with beacon.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".