Impact of wind-induced fading on the capacity of point-to-multipoint fixed wireless access systems
Bibliographic record
Abstract
The tendency for wind blowing through foliage and related environmental disturbances to cause fading events on nonline-of-sight fixed and stationary wireless channels has been well studied in recent years. However, the implications of such fading for the performance of point-to-multipoint wireless communications systems has apparently not been considered previously. Here, we present preliminary measurement data from a suburban macrocell environment which shows that: (1)fixed wireless links tend to exhibit highly variable behaviour over time with periods of calm interleaved with well-defined fading events lasting tens of minutes to hours; (2)some links are more fragile than others and exhibit a greater range of fading behaviour; and (3)fading events on different links within the same cell tend to be correlated with each other. While advanced signal schemes such as MIMO technology can often mitigate such fading, many practical systems continue to employ conventional technology and are susceptible. We show how such fading could degrade the capacity of such systems and the throughput and delay experienced by users.
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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".