15 GHz Street-Level Blocking Characteristics Assessed with 5G Radio Access Prototype
Bibliographic record
Abstract
Knowledge about propagation properties and development of realistic channel models at higher frequencies are crucial for evaluations and design decisions in the upcoming 5G standardizations. One propagation phenomenon that requires special attention at higher frequencies is blocking by objects. In this paper, the propagation characteristics in the presence of street-level blocking objects at 15 GHz are investigated based on measurement with a 5G radio access prototype. It is found that blocking by moving obstacles has similar behavior as that by stationary ones. The results are also used to verify the validity of the blocking model developed in the METIS project at higher frequencies. Blocking loss in the range 3-12 dB is observed, which is not larger than that at lower frequency bands. Moreover, our Doppler analysis reveals that for some objects such as cars and vans propagation happens only around the objects; but for other objects such as trees, propagation happens through the object. Reflection and scattering are also identified to contribute to the limited loss from blocking and increase the channel richness enabling improved spatial multiplexing.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".