The Effect of Two Receivers on Broadcast Molecular Communication Systems
Why this work is in the frame
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Bibliographic record
Abstract
Molecular communication is a paradigm that utilizes molecules to exchange information between nano-machines. When considering such systems where multiple receivers are present, prior work has assumed for simplicity that they do not interfere with each other. This paper aims to address this issue and shows to what extent an interfering receiver, [Formula: see text], will have an impact on the target receiver, [Formula: see text], with respect to Bit Error Rate (BER) and capacity. Furthermore, approximations of the Binomial distribution are applied to reduce the complexity of calculations. Results show the sensitivity in communication performance due to the relative location of the interfering receiver. Critically, placing [Formula: see text] between the transmitter [Formula: see text] and [Formula: see text] causes a significant increase in BER or decrease in capacity.
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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 | 0.000 |
| 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