The impact of atmospheric pressure on the performance of 60GHz point to point links within 5G networks
Bibliographic record
Abstract
There is growing interest in the use of millimetre-wave spectrum as a potential candidate for the provision of high capacity, short range, back-haul solutions within future 5G ultra-dense network infrastructures. However, it is recognised that these frequencies are highly susceptible to atmospheric conditions and therefore a more detailed understanding of such behaviour is required. This paper presents measurements obtained from a long-term trial of a 60GHz point-to-point link that is under test at the University of Salford, UK. Results obtained confirm a direct correlation between path loss and the impact of both atmospheric gases and rain but also highlight a discrepancy. Further analysis has revealed that changes in atmospheric pressure also appear to be having a detrimental affect on link performance. This in turn may be linked to complex changes in the spectral lines of Oxygen molecules as a function of pressure. Sample data from the trial is presented as evidence of the potential impact of changes in atmospheric pressure at 60GHz.
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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".