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 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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".