Bit-Interleaved Coded OFDM With Iterative Decoding in Impulsive Noise
Bibliographic record
Abstract
Bit-interleaved coded modulation with iterative decoding (BICM-ID) and orthogonal frequency-division multiplexing (OFDM) have recently been considered separately to improve the error performance and/or spectral efficiency of communication systems disturbed by impulsive noise, such as power-line communications. Given the advantages of these two techniques, this paper proposes a novel combination of them in one system. The key feature of the proposed system, termed bit-interleaved coded OFDM with iterative decoding (BI-COFDM-ID), is the iterative processing at the receiver where information exchange is carried out between the OFDM demodulator and the channel decoder. Structure and algorithms employed at the iterative receiver of BI-COFDM-ID are described in detail. The results show that BI-COFDM-ID outperforms all the previously proposed techniques at the high signal-to-noise-ratio region and, therefore, it is attractive for applications that require high spectral efficiency and low bit-error rate.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".