A subspace-based iterative group blind multiuser detection and decoding for coded CDMA systems
Bibliographic record
Abstract
A turbo multiuser receiver is proposed for the uplink of channel-coded code-division multiple-access (CDMA) systems with unknown interference. The proposed receiver consists of a first stage that performs soft interference cancellation and group blind linear minimum mean-square error (MMSE) filtering followed by a second stage of channel decoding. The proposed group blind filter satisfies the MMSE criterion to suppress the remained interference caused by known users based on the spreading sequences and the channel characteristics of these users and blindly suppress the remained interference caused other unknown users using a subspace-based method. The proposed receiver is suitable for suppressing high intercell interference. By exchanging soft information between the first and second stages, the receiver performance is improved through iteration. Simulation results show that the proposed group blind receiver significantly outperforms the conventional turbo multiuser detector in the presence of intercell interference.
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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 | 0.001 |
| 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".