Full-duplex transmissions in fiber-connected distributed relay antenna systems
Bibliographic record
Abstract
Distributed antenna systems (DAS) have been studied extensively to improve spectral efficiency and extend coverage. Different from the previous studies that focused mostly on the enhancement of downlink or uplink performance through cooperation of distributed antennas, this paper proposes and investigates a novel communication configuration in which a fiber-connected DAS is employed as a distributed relay antenna system (DRAS). We investigate that such a DRAS has a self-interference cancellation property that leads to the support of simultaneous transmissions and receptions. The DRAS also allows the number of transmit and receive antennas to be controlled to achieve a balance between the signal-to-noise ratios of the source-to-relay and relay-to-destination links. Consequently, a higher spectral efficiency can be achieved compared to conventional half-duplex relay systems. For Rayleigh fading channels, the throughput and the diversity order of the DRAS are analyzed and numerical results show that the full-duplex DRAS exhibits better throughput performance than half-duplex relay systems with large number of relay antennas and in high SNR regions.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".