Connection data rate optimisation of IEEE 802.15.3 scatternets with multirate carriers
Bibliographic record
Abstract
Designed for high rate Wireless Personal Area Networks (WPANs), the IEEE 802.15.3 Medium Access Control (MAC) protocol supports peer-to-peer communications in a piconet. In this paper, we analyse the link rate distribution of an 802.15.3 piconet employing multirate carriers at the physical layer, and show that the Expected Piconet Link Rate (EPLR) decreases gradually with the piconet radius. Furthermore, the Effective Scatternet Connection Rate (ESCR) is defined to minimise the stream connection cost in a scatternet by optimising the piconet coverage. Analytical and simulation results show that direct peer-to-peer communications in 802.15.3 piconets bring a huge gain in the expected data rate of intra-piconet links. While the maximum piconet size minimises the number of piconets in the scatternet and the number of hops for a randomly chosen connection, a medium sized piconet radius optimises the scatternet connection data rate. Thus, configuration of scatternets needs to consider the piconet size and channel reuse given the number of logical channels available.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".