Cross-Layer Call Admission Control Policies for CDMA Systems with Beamforming
Bibliographic record
Abstract
In this paper, we extend the optimal call admission control (CAC) algorithm proposed in Comaniciu, C et al., (2003) to code-division multiple access (CDMA) beamforming systems. In the closed-form power control feasibility condition cannot be readily extended to CDMA beamforming systems, and thus the optimal CAC policy cannot be applied directly. In this paper, we derive a sub-optimal CAC algorithm which is based on an approximated closed-form power control feasibility condition (PCFC). Analytical and simulation results show that a significant performance improvement in terms of blocking probability and connection delay can be achieved by employing multiple antennas at a base-station (BS). An efficient reduced-outage-probability (ROP) algorithm is proposed to reduce the outage in the physical layer
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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 | 0.001 | 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".