Bit Error Rate Performance of FD-Relay in OLOS Mine Environments
Bibliographic record
Abstract
This paper investigates the bit error rate (BER) performance when the communication channel is obstructed by a vehicle in an underground mine tunnel. In this case, the radio signal is obstructed by the vehicle and communication between a source and a destination cannot occur. To overcome this issue, we proposed an investigative relay, installed around the vehicle, with Zero-Forcing Beam-Forming sche me (ZFBF). For the simulation scenario, we consider an application of this particular of the relay in underground mine environment with a vehicle which is obstruct line of sight (OLOS) between two communicating nodes. The relay is equipped with two antennas while both source and destination are equipped with a single antenna. The simulation results show that proposed method can expeditiously minimize the BER and enable the communication between source and destination where vehicles can be obstructed LOS or increase propagation complexity conditions.
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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".