Packet-Level Channel Model for Wireless OFDM Systems
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Bibliographic record
Abstract
In this paper, we develop a novel packet-level channel model for orthogonal frequency-division multiplexing (OFDM) systems over frequency-selective Nakagami-m fading channel. Since the subcarriers are correlated, the Level Cross Rate (LCR) in frequency response is introduced and derived. A complete model including finite state Markov chains in both the time domain and the frequency domain is proposed for the multi- carrier system, which models the received signal to noise ratio (SNR) of each subcarrier and further presents the packet error behavior of the OFDM system. This model is useful for upper layer protocol design and analysis over OFDM systems, and it speeds up significantly the simulation for OFDM networks over fading channels. The model is validated by simulations, which confirm that the statistical properties of the frequency-selective fading channel have been maintained in our model.
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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 | 0.000 | 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 it