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 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".