Improved space-time trellis codes with three and four transmit antennas
Bibliographic record
Abstract
It has been shown that the rank and the determinant of the distance matrices are the design criteria for space-time trellis codes over quasi-static Rayleigh fading channels. Recently, a new design criterion that maximizes only the trace has been proposed for systems with a large product of the numbers of transmit and receive antennas. This criterion is useful and yields superior codes when the product of the numbers of receive and transmit antennas is at least 4. In this paper, new QPSK space-time trellis codes for 3 and 4 transmit antennas with up to 1024 states are presented. Our 64-state codes for 3 and 4 transmit antennas present a larger trace and provide a better error performance than previously published codes with the same number of states. If a smaller error probability is required, a further improvement can be achieved by increasing the number of states at the expense of additional complexity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".