Bluehoc-based simulation study of user data throughput in Bluetooth-enabled devices
Bibliographic record
Abstract
Bluetooth technology aims at allowing short-range communication between portable and/or fixed devices. It uses short-range radio links to replace cables between Bluetooth-enabled devices. In this way, it is similar in purpose to the Infrared Data Association (IrDA), however, Bluetooth is a radio frequency (RF) technology utilizing the unlicensed 2.5 GHz industrial, scientific, and medical (ISM) band. The key features of Bluetooth technology are robustness, low power and low cost with its primary market for data and voice transfer between communication devices and PCs. In this project, a simulation study is done with three major goals in mind: (i) to gather expertise on and evaluate a Bluetooth simulation tool called Bluehoc for further use, (ii) to gather measurements of some Bluetooth characteristics such as throughput in post connection state and (ii) to describe a model that can be used to get maximum throughput for voice and data applications. We also review some of the key aspects in Bluetooth simulation and present models of the Bluetooth devices to get maximum throughput. We show that user data transfer rate (throughput) between Bluetooth master and slaves is effected by distance, number of slaves and slave's start time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.009 | 0.014 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".