Parabolic Reflector-Based Mode Multiplexing Architecture for Next Generation Wireless Backhaul Links
Bibliographic record
Abstract
In this paper, an orbital angular momentum (OAM) mode multiplexing architecture, which benefits from the gain enhancement capabilities of the parabolic reflectors (PR), is proposed. We begin by providing the system model, channel characterization, and throughput analysis. Subsequently, the effect of PR on the OAM carrying beams, which are non-plane electromagnetic (EM) waves, is examined by performing accurate EM-level simulations. Finally, we combine the EM-level and system-level simulations to assess the spectral efficiency of the PR-based OAM system. In particular, we first calculate the channel coefficients by exploiting the EM-level simulations. This is followed by the calculation of generalized mutual information of the system as a function of input power and transmission distance. Our results verify that the proposed PR-based OAM multiplexing system can effectively extend the transmission range of OAM carrying beams.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 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".