A High-Throughput VLSI Architecture for Real-Time Optical OFDM Systems With an Efficient Phase Equalizer
Bibliographic record
Abstract
In this paper, a novel high-throughput very large scale integrated circuit architecture for a real-time implementation of intensity modulation direct detection optical orthogonal frequency division multiplexing system is proposed, achieving the highest throughput reported to date. The proposed architecture utilizes a fast, pipelined, and parallel inverse fast Fourier transform/fast Fourier transform in the transmitter/receiver, which is customized to satisfy the throughput requirements of the advanced optical systems. In addition, an efficient high-accuracy equalization method is developed, improving the system performance compared with the conventional linear equalizers. To evaluate the system performance, the OptiSystem software is used to model the optical channel and a Virtex-6 ML-605 evaluation board is used as the implementation platform. Moreover, the synthesis results in a 180-nm CMOS technology prove that the proposed architecture achieves a sustained throughput of 22.5 Gb/s with a 4.89-mm2core area.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".