Iterative trellis search detection for asynchronous MIMO systems
Bibliographic record
Abstract
The paper presents a reduced-complexity soft-input soft-output detection scheme for asynchronous space-time bit-interleaved coded modulation (ST-BICM) MIMO systems. This scheme is referred to as asynchronous iterative trellis search (A-ITS) detection. The A-ITS detector is based in part on a reduced-state approximation of the BCJR algorithm, and also uses a special type of bit mapping called multilevel mapping to reduce complexity for high-order QAM modulation schemes. The complexity per bit of the detector is linear in the number of transmit antennas and roughly independent of the signal constellation size. The paper presents error performance results generated from computer simulations of an asynchronous iterative ("turbo") MIMO receiver employing the A-ITS detector. It is demonstrated that allowing transmissions from different antennas to be asynchronous can result in considerable performance improvement compared to synchronous MIMO systems.
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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".