A reservation based medium access control protocol with multicast support for optical star networks
Bibliographic record
Abstract
We propose a reservation based multicast protocol for the single-hop passive optical star network. Of the available wavelengths (channels), one channel is designated as a control channel, and the remaining channels are used for data transmission. A node accesses the control channel using a fixed transmitter and a fixed receiver. A node sends data packets using a fixed transmitter and receives packets through a tunable receiver (filter). All the channels are viewed as sequences of frames. In addition, frames of the control channel are further divided into mini slots. Corresponding to each node in the network, there is a mini slot in a control frame. A node puts its multicast request in its designated mini slot in a control frame. At the end of a control frame, all nodes receive the multicast requests of all other nodes, and decide which nodes are going to transmit and/or receive during the following data slot. An easily implementable way of resolving destination and source conflicts is presented. We simulate the protocol to study its throughput behavior, and present its analytic model. Simulation results show that our protocol delivers maximum unicast throughput, and the protocol's multicast throughput is much better than existing protocols using a control channel.
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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 | 0.000 | 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 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".