Design and simulation of a variable bit load adaptive OFDM transceiver for frequency selective channel
Bibliographic record
Abstract
This paper presents the design and simulation of an adaptive LMS beamformer for OFDM receiver array in frequency selective channel. The adaptive array uses the least mean square (LMS) algorithm for beamforming, which minimizes the mean square error (MSE) between the received pilot signal and the reference one. The LMS system proofed to be very efficient in interference cancellation, steering toward the signal direction of arrival (DOA), and improving the signal to noise ratio (SNR). In addition an adaptive bit loading algorithm is also proposed in this paper which improves the overall throughput of the algorithm by assigning higher order modulation schemes to subcarriers with high SNR and more robust modulation schemes such as BPSK or DBPSK to subcarriers with low SNR. The performance of the suggested OFDM system is investigated and compared to the conventional OFDM 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".