Low Speed Digital RoF Transmitter Linearizer Using Sub-band Signal Processing Technique
Bibliographic record
Abstract
In this paper, we propose a digital sub-band (SB) filtering layout for Radio-over-Fiber (RoF) downlink transmitter. A proof-of-principle demonstration of 4 and 8 SB processing for a 256 QAM 100 MHz-bandwidth long-term evolution advanced (LTE-A) signal is presented. To alleviate the high processing speed required for next generation 5G signals, perfect reconstruction quadrature mirror filters (QMFs) are used to split and downsample a contiguous-carrier signal into smaller SBs: each containing part of the frequency content. Through measurements and simulation results, this paper demonstrated that the overall signal quality is maintained while achieving a reduction in the processing speed as well as an improvement in the adjacent carrier power ratio (ACPR). Our results demonstrate the advantages of the proposed technique in RoF transmitters networks.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".