Effective capacities of dual-hop networks with relay selection
Bibliographic record
Abstract
This work studies the effective capacities of dualhop networks with relay selection. The source uses buffer to store the arrival packets. For non-buffer relays, they forward the packets received from the source to the destination in the next time slot in the same transmission frame. For buffer-aided relays, they can store the received packets and forward them in future transmission frame(s). Two different buffer-aided relays can be selected for packet reception and packet forwarding in a frame to exploit the relay selection diversity in both relay and access links. As a result, higher throughput can be achieved as compared to the case of non-buffer relays at the expense of increased buffering delay. To provision delay QoS guarantees, the source and buffer-aided relays operate under statistical delay guarantees in terms of maximum delay violation probabilities. The effective capacities (i.e., maximum constant arrival rates to the source) are characterized as function of the signal-to-noise ratios (SNRs) of the source and relays, delay parameters, and fading distributions.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".