Effects of mobility on packet level performance of connection-oriented multimedia traffic over packet-switched cellular networks
Bibliographic record
Abstract
Packet level metrics such as buffer overflow probability and packet delay are very important quality of service (QoS) parameters in future cellular mobile networks supporting packet-switched traffic. In this paper, we study the effects of user mobility on packet level performance of QoS provisioning schemes for connection-oriented multimedia traffic, which is modeled by a fluid model with on/off sources. We consider both the tradition mobility model, in which channel holding times for new and handoff calls are identically distributed, and a new mobility model proposed recently, in which they are exponentially distributed but with different average values. Using these models, we analyze the packet level performance, such as buffer overflow probability and packet average delay, of different QoS provisioning schemes. Using numerical examples, we show that user mobility models have significant impacts on the packet level performance. The discrepancy between the buffer overflow probabilities using different user mobility models can be as large as 20 times.
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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 | 0.001 | 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".