WLC17-3: Performance of IEEE802.16 Random Access Protocol - Transient Queueing Analysis
Bibliographic record
Abstract
In this paper, we consider the transient queueing response of IEEE802.16 random access protocol with piggyback and automatic repeat request. The random access protocol of IEEE 802.16 is physically based on orthogonal frequency- division-multiple-access (OFDMA)-code-division-multiple-access (CDMA) with time division duplexing (TDD) mode. In medium access control (MAC) layer, the protocol is a type of demand- assigned multiple access (DAMA) with piggyback, in which a bandwidth request can be allowed either before transmitting data or at the end of data transmission. The model of our interest is an M/G/l type queue with set-up times and exhaustive service, which is solved by a generating function approach. In the analysis, we obtain the time dependent mean queue length, the time dependent empty probability of the queue and the time dependent busy period. The random access success probability is derived from the system equilibrium. Retransmission probability is also derived by including a binary exponential backoff algorithm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".