Upper and Lower Bounds on the Capacity of Wireless Optical Intensity Channels Corrupted by Gaussian Noise
Bibliographic record
Abstract
This paper finds asymptotically exact upper and lower bounds on the channel capacity of power and band-limited optical intensity channels corrupted by white Gaussian noise. This work diers from the oft investigated case of the Poisson photon counting channel in that not only are rectangular pulse amplitude schemes considered, but general results for all time-disjoint intensity modulation schemes are presented. The role of bandwidth is expressed by way of the eective dimension of the set of signals and together with an average optical power constraint is used to determine bounds on the spectral eciency of time-disjoint optical intensity signalling schemes. The signal independent, additive white Gaussian noise model is realistic for indoor free-space optical channels. The bounds show that at high optical signal-to-noise ratios the use of bandwidth ecient pulse sets is essential to achieve high spectral eciencies. This result can be considered as an extension of previous work on photon counting channels which more closely model low optical intensity channels.
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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".