Call admission policies and capacity analysis of a multi-service CDMA personal communication system with continuous and discontinuous transmission
Why this work is in the frame
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Bibliographic record
Abstract
Capacity analysis of a multi-service CDMA communication system when both continuous and discontinuous transmission schemes are employed, is presented. Data messages treated in this paper include long ones for which closed loop power control can be implemented, and short ones for which only open loop power control is feasible. The effect of the discontinuous transmission's overhead on the system Erlang capacity is evaluated. For data transmission, when a negative-acknowledgment ARQ protocol is employed, its impact on the call admission control (CAC) is also investigated. The concept of equivalent bandwidth has been introduced which makes the analysis of an interference-limited system similar to that of a bandwidth-limited system without fixed channel assignment. The proposed CAC algorithms can be employed in a system supporting multi-rate data services. Simulations are conducted to validate the analysis.
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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 | 0.001 |
| 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 it