RF/Analog self-interference canceller for 2×2 MIMO full-duplex transceiver
Bibliographic record
Abstract
This paper presents a compact, highly-linear RF/Analog self-interference canceller (SIC) for a 2×2 MIMO full-duplex (FD) transceiver to suppress the existing strong selfinterference (SI) at the receiver input in order to prevent the receiver from saturation. Linearity requirements of RF/Analog SIC, as well as corresponding variable attenuator and delay/phase module, are derived and a RF/Analog SIC with good linearity for high power transmission is proposed. A prototype with compact size is fabricated on a multilayer PCB for a 2×2 MIMO inband FD transceiver, and is implemented with highly-linear, custom-made tunable attenuator and delay/phase-shift module to suppress nonlinear distortion. The measurement results in anechoic-chamber reveal that this RF/Analog SIC prototype integrated with a dual-polarized antenna can provide over 80dB cancellation for +30dBm and 20MHz OFDM signal centered at 2.27GHz. Typical 34dBm OIP3 of the prototype is measured. The simulation with following digital canceller reveals a negligible SNR degradation of 0.3dB due to the nonlinear distortion of this prototype.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".