Analysis and Mitigation of Transmitter Nonlinearity Effects on FBMC Signals
Bibliographic record
Abstract
This paper investigates the performance enhancement of wireless transmitters driven by Filter Bank Multi-Carrier (FBMC) signals using digital pre-distortion (DPD) techniques. The study explores the superiority of FBMC over Orthogonal Frequency Division Multiplexing (OFDM) in terms of spectral efficiency and error performance. Extensive measurements are conducted on a base station transmitter, employing both memory-less and memory polynomial DPD models to analyze the impact of non-linearity and memory on FBMC and OFDM signals. Experimental results demonstrate that DPD significantly improves Adjacent Channel Power Ratio (ACPR) and Error Vector Magnitude (EVM), thereby enhancing Power Amplifier (PA) efficiency. The study provides valuable insights for designers in selecting appropriate waveforms and DPD algorithms to achieve desired performance metrics in wireless communications.
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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".