Multi carrier modulation for indoor wireless communications
Bibliographic record
Abstract
This paper discusses Multi Carrier Modulation (MCM) with application to broadband Frequency Selective Fading (FSF) channels. The first part of the paper discusses the capacity of such channels subject to the assumption that the channel bandwidth is much larger than the coherence bandwidth. Under this condition, it is shown that for a given spectral efficiency, in terms of C/W (Bits/S/Hz), the FSF channel requires 2.5dB more power by comparison to the ideal AWGN channel in high Signal to Noise Ratio (SNR). The extra power requirement decreases to less than 2dB for SNR below 10dB. The second part of the paper discusses the performance of a differentially detected MCM system. It is shown that the average Bit Error Rate (BER) performance is at best similar to the performance achievable over flat Rayleigh fading channels if no channel coding is used. Block error rate results are also presented and used in predicting the average performance improvement due to linear block codes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".