A Joint Power Allocation and Adaptive Channel Coding Scheme for Image Transmission over Wireless Channels
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Bibliographic record
Abstract
In this paper, a joint adaptive power allocation and channel coding optimization scheme is proposed. This scheme exploits the difference in importance among bits used to represent an image or video signal. An offline iterative algorithm is developed to find the optimum combination of coding and power to be used for the transmission of individual bits. Optimality here is in the sense of minimizing the mean square error (MSE) which results in a better quality of the reconstructed image. Simulation results show that bits of significant importance should always be coded and allocated most of the transmitted power while bits of less significance may be sent without coding and with less allocated power. This is done while maintaining the average per-bit energy at the same level. Simulation results also show that the proposed combined approach achieves a gain of about 3 dB when compared to the case of coding alone. In addition, the proposed scheme outperforms the case of power allocation alone while reducing the peak-to-average power ratio.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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