Pure harmonic upconversion in radio-on-fiber systems
Bibliographic record
Abstract
The demand for residential broadband connectivity is growing world-wide, spurring on research efforts to solve the 'last mile' problem. Radio-on-fiber (ROF) based networks are an attractive solution as they offer significant infrastructure cost savings and economically leverage existing optical infrastructure. This network topology would necessarily operate in the 30GHz, LMCS band (Local Multi-User Communication system) by virtue of its broadband requirements. Such high operating frequencies and bandwidths demand expensive RF hardware. Pure harmonic upconversion of the radio subcarrier is an attractive method of reducing the frequency requirements of the system oscillator, mixer, and optical modulator with minimal complexity, thus reducing infrastructure costs. Unfortunately, severe phase and amplitude distortion results from the harmonic upconversion process and is further compounded by chromatic dispersion. This paper characterizes these distortions, and introduces a mitigating phase and amplitude predistortion scheme for harmonic upconversion with chromatic dispersion in Mach-Zehnder/direct detection based optical links. As a proof of concept, a prototype Mach-Zehnder based, 3rd order harmonically upconverted 10.41GHz, 16QAM subcarrier radio-on-fiber system is described, and preliminary experimental results presented.
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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 | 0.001 | 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 | 0.001 | 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".