Joint adaptive spatial modulation and power adaptation for spectrum sharing systems with limited feedback
Bibliographic record
Abstract
We have recently proposed adaptive spatial modulation (ASM) for multiple antenna systems with the aim of improving the energy efficiency through spatial modulation (SM) and improving the average spectral efficiency (ASE) through adaptive modulation. In this paper, we extend ASM to spectrum sharing systems in an effort to improve the secondary system's performance in terms of energy efficiency and ASE. Based on a limited feedback from the primary user (PU), the secondary transmitter (ST) uses power adaptation in order to maximize its ASE while respecting a peak interference constraint to the PU. When compared to the recently-proposed fixed power scheme (FPS), the adaptive power scheme (APS) proposed in this paper offers lower transmission delays, higher effective throughput, and comparable error performance. In this work, we analyze the performance of APS in terms of ASE, effective throughput, and average bit error rate (ABER). We also provide several simulations through which we corroborate these analytical results.
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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 | 0.000 |
| 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 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".