Linearized Full Duplex Radio-Over-Fiber-Over-Space Mixerless Transceiver Architecture
Bibliographic record
Abstract
This paper proposes a full-duplex Radio-over-Fiber-over-Space (RoFoS) transceiver's architecture with mixerless frequency conversions. The polarization splitting of the optical carrier into two orthogonal polarizations provides away to carry both downlink (DL) and uplink (UL) optical signals in one optical channel. In this work, the UL and DL signals are chosen to provide proof-of-implementation for the 5G fronthaul networks. In the baseband unit (BBU), the DL signal at the intermediate frequency (IF) 2 GHz is sent through RoFoS to the remote radio head (RRH) and broadcasted at 19 GHz, without the need for any mixing stage. In the UL path, at the RRH, the UL signal with an interferer (I) and added noise are received at 4 GHz then optically modulated and sent through the same optical channel to the BBU to be compensated for any distortion or hardware impairments. Digital compensation polynomial based models are used to reduce the distortion generated from the optical, electrical, and electro-optical components in the RoFoS transceiver. The error vector magnitude (EVM) and the signal to noise ratio (SNR) are calculated and compared to the 5G/NR standards test requirements.
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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) | 0.004 | 0.002 |
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".