Characterization of intersymbol interference in concentration-encoded unicast molecular communication
Bibliographic record
Abstract
This paper characterizes intersymbol interference (ISI) in a unicast molecular communication between a pair of nanomachines in a nanonetwork. Correspondingly, a transmission-controlled approach based on reduced pulse-width transmission has been proposed in order to mitigate ISI. Binary amplitude modulation has been assumed for the concentration-encoded signaling. Characteristics of interference signal strength (as a fraction of total available signal strength at the location of receiving nanomachine) have been explained in terms of communication range, pulse-width, and data rate of the system. Performance evaluation has been explained in the form of improvement by reducing interference with a reduced pulse-width approach. Results based on numerical analyses with three suitable propagation media (air, water, and human blood plasma) have been shown for the sake of potential applications in the field of nano-bio-communication and healthcare nanomedicine. Finally, it is concluded that ISI is a significant issue in molecular communication, and the proposed reduced pulse-width based approach saves signal energy and improves ISI performance in concentration-encoded molecular communication.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".