Concatenated orthogonal/PN spreading scheme for cellular DS-CDMA systems with integrated traffic
Bibliographic record
Abstract
The application of the concatenated orthogonal/PN spreading scheme for integrated traffic is introduced. Bhargava (1994) proposed using a single line rate (adjusted data rate before spreading) to accommodate traffic with a wide range of source rates. For traffic with source rates higher than the line rate, the authors propose using concatenated orthogonal/PN spreading sequences to subdivide a high rate stream into several parallel line rate streams. The performance of the concatenated orthogonal-PN spreading sequence for homogenous voice traffic in various cellular mobile environments with multipath fading, log-normal shadowing and path loss, is first analyzed and compared with that of the conventional non-concatenated long PN sequence. The authors then evaluate the performance of a system with integrated traffic of voice and video. In conjunction with this, they propose the use of cosets of Walsh-Hadamard (WH) codes to reduce the multi-user interference. Different methods of assigning the spreading sequences among the cosets which improve the capacity of both voice and video users, are investigated.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".