Forward link performance analysis of a deployed CDMA2000 network
Bibliographic record
Abstract
The deployment of third generation (3G) technologies is constantly growing, offering higher wireless capacity which promises broader access to IP applications including rich multimedia content. The deployment of such applications primarily requires the identification of performance characteristics offered by the underlying 3G network. In this paper, the results of a series of experiments aiming to characterize the performance of forward link 3G CDMA2000 1x-RTT wireless networks are presented. The performance is evaluated for various types of traffic, e.g. FTP, HTTP, VoIP and multimedia streaming. The measurements have been performed on a live CDMA2000 1x-RTT network for both stationary and mobile states, providing results not readily obtainable by means of simulations. The paper highlights issues that researchers should consider when validating their design on this type of network. Moreover, a set of recommendations are provided giving a road map for operators and service developers providing applications running on such networks.
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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 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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".