Analog interference cancellation for full-duplex broadband power line communications
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
In this paper, we present an all-analog echo cancellation solution to achieve in-band full-duplex (IBFD) operation in broadband power line communications (BB-PLC). The performance of active digital interference cancellation, as proposed previously for IBFD BB-PLC, is limited by distortion and quantization noise introduced by the analog-to-digital converter (ADC). Hence, we explore analog interference cancellation (AIC) solutions to reduce the power of the signal entering the ADC. We consider various AIC solutions for other communication media known from the literature, and show that a direct implementation of any of these solutions to a BB-PLC system renders an expensive and/or ineffective realization. Acknowledging the specific challenges encountered in BB-PLC, we propose an AIC mechanism that not only eliminates the effects of ADC distortion and quantization noise, but also provides sufficient echo cancellation gain (ECG) to function without an active digital interference cancellation module. We demonstrate through simulation results that our proposed solution provides over 80 dB of ECG, which is sufficient to reduce the echo power down to the minimum power line noise floor.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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