Full-Duplex Power Line Communications: Design and Applications from Multimedia to Smart Grid
Bibliographic record
Abstract
PLC superimposes high-frequency data signals ranging from a few hundred Hertz to hundreds of megahertz over the low-frequency electrical power carriers to reuse the existing power lines for communication purposes. Across various indoor and outdoor PLC application scenarios, the electromagnetic compatibility restrictions and the low-pass nature of power line channels restrict the data rate gains that can be furthered by conventional means of increasing power and/ or bandwidth. In this article, we provide an overview of IBFD operation as a means to improve PLC under these constraints, by potentially doubling the spectral efficiency through simultaneous signal transmission and reception in the same frequency band and over the same power line. We summarize the recent advancements in IBFD solutions for both narrowband and broadband PLC and contrast the design considerations to those in existing IBFD methods in other communications systems. We also highlight the benefits of IBFD operation to PLC networks in easing PLC network congestion, ensuring electromagnetic compatibility of PLC across application scenarios, and obtaining added insights in the context of smartgrid monitoring and security using simultaneous bidirectional communication.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".