Performance of an asynchronous CDMA system with parallel interference cancellation
Bibliographic record
Abstract
The asymptotic performance of a multistage linear partial parallel interference cancellation (PPIC) receiver for an asynchronous code division multiple access (CDMA) system over an additive white Gaussian noise (AWGN) channel using the moments of the eigenvalues of the correlation matrix is addressed. The closed-form expression for the eigenvalues of a random covariance matrix in synchronous case is known (Jonsson, D., 1982). However, for the case where the users are not synchronous, the distribution is not known. In such a case, we evaluate the behavior of the eigenvalues through numerical simulation. The figure of merit to evaluate the performance is the signal-to-interference-plus-noise ratio (SINR) that is calculated under large-system conditions where the number of active users (K) and the processing gain (N) tend to infinity, while their ratio (/spl beta/=K/N) is a finite value. Simulation results show a significant degradation in performance due to asynchrony. It is also seen that, similar to the synchronous case, the SINR for the asynchronous case in a large-system scenario converges to that of the minimum mean-squared error (MMSE) receiver.
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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 | 0.001 |
| 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".