Feasibility of full-duplex dynamic spectrum management for PLC-DSL coexistence
Bibliographic record
Abstract
In this paper, we address the issue of electromagnetic compatibility (EMC) in indoor wired communication systems. In particular, we consider the electromagnetic interference between broadband power line communications (BB-PLC) and digital subscriber line (DSL) networks, and investigate a non-intrusive opportunistic dynamic spectrum management technique to enable coexistence. To this end, we examine the feasibility of power spectral density adaptation at the PLC nodes using spectrum sensing to estimate the DSL-to-BB-PLC interference channel. We consider the use of in band full duplexing to enable power line modems with superior spectrum sensing efficiency to simultaneously transmit PLC data and sense for the electromagnetically coupled DSL signal. We then determine the conditions under which sufficient signal-to-noise ratio of the known DSL pilot signal is achieved at the PLC node to obtain a satisfactory interference channel estimate. Further, we simulate a realistic indoor BB-PLC network and use real DSL-to-PLC interference channel measurement data to examine the viability of a dynamic spectral adaptation approach.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".