Characterization of fixed wireless channels between 200 MHz and 2 GHz for intelligent grid applications in suburban macrocell environments
Bibliographic record
Abstract
Growing interest in the wireless-enabled intelligent grid has prompted spectrum regulators to re-allocate various bands between 200 MHz and 2 GHz to fixed wireless applications. Although it is well-known that fixed wireless channels are subject to fading due to the motion of scatterers in the environment, most past efforts to characterize such fading on non-line-of-sight links in suburban macrocell environments have focused on frequency bands at 2 GHz and above. Based upon received signal strength data that we collected simultaneously in the 220, 850 and 1900 MHz bands at ranges between 1 and 4 km from a set of transmitting antennas located at 80 m above ground level, we have investigated the manner in which path loss and signal fading vary with distance at lower frequencies in such environments. Our results show that the severity of fading increases rapidly as both the carrier frequency and path loss increase.
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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".