Outage Probability of Full Duplex Relay in OLOS Underground Mine Environments
Bibliographic record
Abstract
Expanding the coverage of network with different techniques is necessity and demand of today's life. As the population increases the demand for more solutions to give more capacity and to reach everyone on the whole world with network increases. This paper considers the design of dual-hop full-duplex (FD) Multiple-Input Multiple-Output (MIMO) Relay for workers in the underground mine tunnel area, with an obstructed line of sight OLOS conditions, where the relay is equipped with two antennas, while the source and destination are armed with a single antenna. This paper aims to investigate the outage probability performance when the communication channel is obstructed by a vehicle in a mine tunnel. In this case, the radio signal is obstructed, and no communication is possible, we proposed an investigative relay, installed around that vehicle, with scheme Zero-Forcing Beam-Forming (ZFBF) to avoid obstruction and enable communication again. The simulation results show that the proposed scheme can efficiently minimize the outage probability.
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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 | 0.001 | 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".