Comparison of Multiuser Detection Techniques for Asynchronous Multirate DS-CDMA Systems
Bibliographic record
Abstract
This paper compares performance of various multiuser receiver structures for asynchronous multirate DS-CDMA systems over multipath Rayleigh fading channels. Bit-error-rates (BER) of the novel decorrelator based successive interference cancellation (DBSIC) detector and other commonly used suboptimum multiuser receivers such as the decor relating, minimum mean-square-error (MMSE), SIC, parallel interference cancellation (PIC) and decorrelating decision-feedback (DF) detectors are evaluated for variable processing gain (VPG) CDMA systems with both perfect and imperfect channel side information. Simulation results show that DBSIC outperforms all other considered multiuser detection techniques in various multirate scenarios including cases with more than two rates at the expense of some additional complexity. In particular, DBSIC provides gains in the case where some physical users have increased data rates (i.e. heavier system's load in terms of virtual users). It is also observed that, while all the receivers suffer degradation in performance in the case of imperfect channel estimates, DBSIC still outperforms the other detection schemes
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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".