Bibliographic record
Abstract
In multiuser MIMO-CDMA systems, the layered space-time multiuser detector (LAST-MUD) can achieve high data rate and reliable communication by combining time-domain technique and space-domain technique. At the receiver side of LAST-MUD, the mathematical expression of the signals passing through the space-code matched filters is similar to the received signals of the V-BLAST system. This similarity makes it possible to apply some advance detection schemes originally used in single user V-BLAST system to multiuser MIMO-CDMA system. Recently, the B-Chase and L-Chase detectors have been developed to improve V-BLAST system performance. In this paper, we investigate the use of these two Chase based schemes to MIMO-CDMA system. The simulation results show that the performance of the L-Chase detector is worse than LAST-MUD due to the error in noise estimation, while the B-Chase detector can achieve a better performance than LAST-MUD.
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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 | 0.001 | 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 | 0.000 |
| 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".