RIS-Segmented Symbiotic Covert Cooperative Backscatter Communication Systems
Bibliographic record
Abstract
In this work, we delve into the covertness performance of the reconfigurable intelligent surface (RIS) symbiotic ambient backscatter communication (AmBC) systems. The RIS is partitioned into backscatter device (BD) zone and enhance transmission (ET) zone to serve two distinct users. Through dynamically adjusting the number of ET zone elements, we aim to impede the detection of backscattered communication signals by the monitor. Considering the existence of imperfect successive interference cancellation (ipSIC) at receivers and mutual interference (MI) between zones, the closed-form expressions for the detection error probability and outage probabilities over the Nakagami-<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> channels are derived. To maximize the effective covert throughput, we employ a block coordinated descent (BCD) method to optimize the power allocation factor and the number of zone reflective elements. Simulation results validate the accuracy of our analysis, underscoring that the RIS-segmented symbiotic AmBC systems can achieve better covertness and reliability by enhancing the interference cancellation capability and dividing the optimal RIS zones.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".