Granting Massive Access by Adaptive Pilot Assignment Scheme for Scalable Cell-free Massive MIMO Systems
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Bibliographic record
Abstract
In this paper, an adaptive pilot assignment scheme is proposed to solve pilot contamination (PC) caused by the reuse of limited pilot sequences, while allowing massive access in the scalable Cell-free massive multiple-input multiple-output systems. The proposed allocation scheme consists of algorithms for determining initial serving relationships between access points (APs) and user equipments (UEs), and an adaptive group forming strategy where groups are formed with UEs that contain the least common associated APs. The proposed scheme guarantees the association of all UEs and better spectral efficiency (SE) by reducing PC efficiently with limited pilot sequences. Numerical results prove that the proposed allocation scheme outperforms the random assignment scheme and a recent pilot assignment proposal that allows massive access in respect to 95%-likely SE and average SE performance.
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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 | 0.001 |
| 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