Extremely Large-Scale Array System: Cooperative NFC or FFC?
Bibliographic record
Abstract
Even that near-field communication (NFC) significantly improves the performance due to the unique spherical-wave channel model in electromagnetic propagation, its future application in communications is still with boundedness, which suffers from the constrained communication distance. In this letter, we investigate a cooperative relaying NFC and far-field communication (FFC) coexisting system with extremely large-scale array (XL-array), where one far user is out of Rayleigh distance from base station (BS), as well as the scenarios from BS to the near relay/user and from the near relay/user to far user are NFCs. Specifically, the closed-form and asymptotic expressions for achievable capacity are respectively derived. In addition, simulation and numerical results confirm the correctness and superiority of our proposed schemes, which show that the capacity improvement from NFC effectively compensates the performance loss from the half-duplex principle, even providing a better profit compared with FFC.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".