Twin nonlinearity generator‐based analog predistorter for small‐cell power amplifiers
Bibliographic record
Abstract
In this article, a simple analog predistorter (APD), named twin nonlinearity generator based APD (TNG-APD) using the pseudomorphic high electron mobility transistor (pHEMT), is proposed for linearizing small-cell radio frequency power amplifiers (RFPAs) in the fifth-generation mobile communication system (5G). The TNG-APD is composed of two cascaded common-source field effect transistors (FETs) and a phase shifter. To verify the linearization, a TNG-APD circuit operating at central frequency of 3.5 GHz is fabricated to linearize wideband RFPAs. The RFPA under the test in this article is a 1-W RFPA for 5G small-cell basestations. The measurement results show that the adjacent channel power ratio (ACPR) of the RFPA is suppressed by more than 15 dB under a 100 MHz bandwidth 5G new radio (5G-NR) signal with simultaneous quadrature phase shift keying (QPSK) modulation and 256-quadrature amplitude modulation (256QAM), and more than 7 dB under a 200 MHz bandwidth 64 QAM signal. The measured error vector magnitude (EVM) under the 100 MHz 5G-NR signal is improved from 6.2% to 2.3%. Therefore, the proposed TNG-APD has high potential to linearize wideband RFPAs in the 5G small-cell basestation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".