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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".