Enhancing System Spectral Efficiency in Cellular Networks via Full-Duplex D2D Communications
Bibliographic record
Abstract
In this paper, we investigate the benefits of integrating underlaid device-to-device (D2D) communications in cellular networks in terms of spectral efficiency gain with D2D users operating in half-duplex (HD) and full-duplex (FD) under the presence of residual self-interference. Based on stochastic-geometry, we develop analytical expressions for the sum-rates of D2D links in order to characterize their behaviors under the effects of various system parameters. Numerical results are provided to illustrate such behaviors. It is shown that, with a sufficient self-interference cancellation level, FD D2D can provide substantial spectral efficiency improvement over the HD counterpart. Underlaid D2D communications in cellular network also offers a significant spectral efficiency gain over the pure cellular networks, especially in dense D2D deployment.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".