Estimation of radio-over-fiber uplink in a multiuser CDMA environment using PN spreading codes
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Bibliographic record
Abstract
Two of the major issues with radio-over-fiber (ROF) technology for wireless communications are the nonlinear distortion of the optical link and the multipath dispersion of the wireless channel. In order to limit the effect of these distortions, estimation, and subsequently equalization of the concatenated fiber-wireless channel should be done. The estimation of the fiber-wireless uplink was done in a single user CDMA environment. This paper focuses on estimation in a multiuser CDMA environment by utilizing the properties of pseudonoise (PN) spreading codes. We also consider both wireless channel and optical receiver noise. Furthermore, we propose a new iterative technique to mitigate the adverse effect of multiple access interference (MAI) on the identification process. Numerical evaluations of the developed algorithm show a good estimation of both the linear and nonlinear systems with 10 users, an SNR of 25 dB between the mobile user and RAP, and an optical noise power equalling the wireless noise power
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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 | 0.001 | 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 it