Enhancing transmission efficiency of broadband PLC systems with In-Band Full Duplexing
Bibliographic record
Abstract
In this paper, we investigate the feasibility of In-Band Full-Duplexing (IBFD) for Broadband Power Line Communication (BB-PLC) systems, to potentially double the throughput and spectral efficiency. IBFD accomplishes this through simultaneous bidirectional communication over the same powerline in the same frequency band, by applying echo cancellation (EC) to suppress the interference caused by the self-transmitted signal. In light of various EC schemes employed in Digital Subscriber Lines, Ethernet, co-axial cables and recently in wireless systems, we investigate the specific requirements and constraints in BB-PLC, and present solutions for an effective IBFD implementation for such systems. We then use our simulated EC gain values to examine the overall data rate gains obtained by IBFD under different channel attenuations and PLC noise conditions, to determine if we truly obtain a 100% increase in throughput at all conditions.
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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".