Combined adaptive modulation and truncated ARQ for packet data transmission in MIMO systems
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Bibliographic record
Abstract
The aim of this paper is to provide a framework for cross-layer management of packet-data transmissions in MIMO systems employing orthogonal space-time block coding (STBC) over Nakagami fading channels. The framework integrates physical layer adaptive modulation and link layer truncated automatic repeat request (T-ARQ), in an attempt to maximize the system's spectral efficiency under prescribed quality of service requirements such as delay and error rate constraints. The performance of the proposed scheme is assessed via three metrics for which we derive closed-form expressions. These metrics consist of the average packet error rate, the average spectral efficiency and the outage probability. We illustrate our analysis through numerical results showing how the combined cross-layer design significantly outperforms both physical layer adaptive modulation and link layer T-ARQ when solely one of these adaptive techniques is used in conjunction with STBC.
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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