A BICM Scheme with Iterative Demapping and Decoding for Non-Coherent MIMO Communication
Bibliographic record
Abstract
A bit-interleaved coded modulation (BICM) scheme with iterative demapping and decoding (ID) is developed for non-coherent communication over a multiple-input multiple-output (MIMO) channel. The scheme exploits the underlying Grassmannian geometry of the signalling scheme that achieves the ergodic capacity of the non-coherent model at high signal-to-noise ratios. In particular, this geometry gives rise to an efficient list-based demapping algorithm that substantially reduces the computational complexity of the receiver. By allowing the decoder to augment the demapping list, the performance degradation of this efficient algorithm can be rendered insignificant. We compare the performance of the proposed scheme with that of a training-based BICM-ID scheme and show, via simulation, that the proposed scheme can provide significantly better performance at high data rates.
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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".