Performance enhancement of I/Q imbalance based wireless device authentication through collaboration of multiple receivers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I/Q imbalance commonly exists in direct conversion architecture based wireless transceivers due to the mismatches of analog components between in-phase (I) and quadrature (Q) branches. In this paper, the device-dependent I/Q imbalance is utilized as transmitter fingerprint to accomplish improved wireless authentication through the collaboration of multiple receivers. In precise, two hypothesis testing based authentication methods are proposed to identify transmitter by using an I/Q imbalance related matrix. To enhance the authentication performance of these two methods, a multi-receiver collaboration scheme is proposed in our study. Simulation results validate our proposed authentication scheme and show a significant enhancement comparing to the scenario without receiver collaboration.
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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 | 0.000 | 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 it