Single-field programmable gate array simulator for geometric multiple-input multiple-output fading channel models
Bibliographic record
Abstract
The authors propose a compact and fast fading channel simulator for the baseband verification and prototyping of multiple-input multiple-output (MIMO) wireless communication systems. The simulator accurately and efficiently implements models of both single-bounce and multiple-bounce geometric propagation conditions. Fading samples are generated at a low rate, comparable to the Doppler frequency, and then interpolated to match the desired sample rate. Bit-true simulations verify the accuracy of the hardware simulator. As an example, when implemented on a Xilinx XC5VLX110 field-programmable gate array (FPGA), the 4×4 MIMO geometric fading channel simulator occupies only 6.6% of the configurable slices while generating more than 16×324 million samples per second. The geometric MIMO fading channel simulator is well suited for use in an FPGA-based error rate performance verification system.
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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 | 0.001 |
| 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 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".