Ergodic Capacity Analysis for Cooperative Ambient Communication System Under Sensitivity Constraint
Bibliographic record
Abstract
Cooperative ambient backscatter communication (CABC) is a promising and energy-efficient wireless technique, particularly relevant for green Internet of Things applications. Previous studies on CABC have often assumed that the tag can always perform backscatter operations. However, this assumption is not accurate since the tag needs sufficient power to support its circuit consumption for successful backscatter. In light of this, this article focuses on studying a CABC system with sensitivity constraints at the tag. The main contributions of this work are as follows. First, we derive the ergodic sum capacity of both primary transmission from the RF source to the reader and backscatter transmission from the tag to the reader. The resulting expressions are solved using Gaussian-Chebyshev quadrature (GCQ) to ensure accuracy and efficiency. Second, we present compact asymptotic results for low and high signal-to-noise ratios, enabling simplified calculations and analysis. Finally, we provide simulations to validate our analytical results. By considering sensitivity constraints at the tag, our study enhances the potential of CABC implementations in real-world scenarios.
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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 | 0.001 | 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 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".