Nearest APs-Based Downlink Pilot Transmission for High Secrecy Rates in Cell-Free Massive MIMO
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the downlink (DL) performance of cell-free (CF) massive multiple-input multiple-output (MIMO) systems in the presence of pilot spoofing attacks. Assuming no statistical information of the eavesdropper is available at the access points (AP)s while adopting non-orthogonal pilot sequences in the uplink (UL) training phase, new analytical expressions for the achievable DL rates and information leakage are derived. Besides, we propose a new DL transmission protocol in which the nearest APs to users send DL pilots so that the users can estimate the corresponding DL channel conditions and detect the intended DL transmitted symbols. The performance of the proposed technique is compared with other techniques in the literature, namely, no DL pilots and DL beamforming training. Results reveal that the proposed technique is more robust under pilot spoofing attacks as it significantly limits the information leakage to the eavesdropper and achieves superior secrecy rates.
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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