Performance of a Decorrelator Based Successive Interference Cancellation Multiuser Receiver for Asynchronous Multirate DS-CDMA Systems
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Bibliographic record
Abstract
In this paper we investigate the performance of a decorrelator based successive interference cancellation (DBSIC) multirate DS CDMA multiuser receiver over multipath Rayleigh fading channels with both perfect and imperfect channel side information. Variable processing gain (VPG) with various numbers of data rate classes is considered. The performance of DBSIC is presented using an analytical approach and simulations, and its improvement over other commonly-used suboptimum detection schemes such as the decorrelating, minimum mean square (MMSE), SIC, parallel interference cancellation (PIC) and decorrelating decision feedback (DF) receivers is demonstrated. In the case of imperfect channel estimates, it can be observed while all the receivers suffer degradation in performance, DBSIC still outperforms the other detection schemes
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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 | 0.001 |
| 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 it