High efficiency delta-sigma transmitter architecture with gate bias modulation for wireless applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper proposes an efficient envelope delta-sigma based transmitter architecture with gate bias modulation for modern wireless communication systems. Using this architecture, envelope varying signals are converted to constant envelope signals. The constant envelope phase signal is up-converted and amplified utilizing high efficiency power amplifier, while the two level delta-sigma modulated envelope signal is used to switch the gate of the power amplifier. To validate the proposed technique, a prototype transmitter is implemented and evaluated. A Long-Term Evolution (LTE) uplink signal with the bandwidth of 3.84 MHz and the peak-to average power ratio (PAPR) of 7 dB is used to validate the linearity and efficiency performance of the transmitter setup. Using the LTE uplink signal, the polar architecture with modulated gate bias is able to achieve the average drain efficiency of 48% and PAE of 42% at the output power of 25.5dBm. The adjacent channel leakage ratio (ACLR) measured for this signal is less than -31dBc at 10 MHz offset from the center frequency of 2.35GHz. The measurement results are able to meet the spectrum mask without linearization techniques.
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.
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