Alamouti-type wireless communication systems with one-bit feedback
Bibliographic record
Abstract
The use of one-bit channel state feedback with the Alamouti-type wireless link using two transmit and one receive antennas is studied. An exact analysis of the symbol error rate (SER) is presented for several alternative schemes: the standard Alamouti system without feedback as well as three different systems with one-bit feedback. Later schemes involve systems with transmit antenna selection, diagonal weighting, and power control at the transmitter. Our study shows that quite significant performance improvements can be obtained by exploiting one-bit feedback if it is (nearly) perfect. However, if the feedback is unreliable then the performance of the methods designed under the perfect feedback assumption deteriorates substantially and can be even worse than that of the standard Alamouti system without feedback. To improve the performance of the feedback-based schemes in the imperfect feedback case, we propose new robust modifications of the one-bit feedback-based Alamouti-type schemes. Thus robust technique takes the advantages of reliable feedback knowledge.
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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 | 0.001 | 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 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".