Full-duplex spectrum sensing in broadband power line communications
Bibliographic record
Abstract
We address the issue of electromagnetic interference between power line communication (PLC) and non-PLC services by using full-duplex spectrum sensing for cognitive PLC. Contemporary broadband PLC (BB-PLC) standards allow PLC devices to dynamically use idle spectra that are allotted to non-PLC services, like broadcast radio. Traditional spectrum sensing techniques operate in a half-duplex manner, and thus provide sub-optimal sensing efficiency. In this paper, we propose the use of in-band full-duplex (IBFD) operation to allow simultaneous data transmission and spectrum sensing, and eliminate all sensing-only and other wait times involved in conventional spectrum sensing operations. We first show that using the state-of-the-art IBFD solution yields inaccurate spectrum sensing performance due to non-negligible residual self-interference. We therefore propose multiple solutions to address this problem. We show through simulation results that our proposed solutions provide sufficient self-interference cancellation to achieve nearly the same spectrum sensing accuracy as that obtained in a half-duplex operation.
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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 | 0.001 | 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".