Diverse QoS Support in Multimedia Communication with Multiple MAC Layer Queues Using FSMC
Why this work is in the frame
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Bibliographic record
Abstract
Diverse quality of service (QoS) guarantee is critical in wireless multimedia communications to fulfill the requirements of various applications. QoS with conventional single queue scenario has been very much explored but few studies were done on multiple queue system. In this paper, we propose a new multiple queue finite-state Markov chain model where multiple queues are employed at medium access control (MAC) layer and the system is modeled by combining the multiple queues with the finite-state Markov channel (FSMC) at physical (PHY) layer. We also introduce queue control parameters at MAC layer to determine the different priorities of different queues for the provision of diverse QoS, which can further be adjusted dynamically according to users' real-time requirements by configuring queue control parameters. The stationary distribution of the Markov chain is then obtained to derive the closed-form expression of the system QoS performance and finally we validate the proposed multiple queue algorithm by simulations.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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