Distributed Spatial Modulation for Unmanned Aerial Vehicle-Base Station to Ground Cooperative Communication
Bibliographic record
Abstract
In this paper, we present the error performance of a multi-relay network scenario for the unmanned aerial vehicle (UAV)-base stations (BS). In the considered system, multiple ground relays assist the transmission, using distributed spatial modulation (DSM) technique, from the UAV-BS to the ground destination. UAV-BS to ground links are affected by both path loss and shadowed-Rician fading, while the ground to ground link is affected by both path loss and Rayleigh fading. In the proposed system, indices of the relays are also used to convey information, and only one relay whose index is matched to the determined relay index can be active in transmission depending on the success of cyclic redundancy checking (CRC). The bit error probability (BEP) for the considered system is derived and validated by Monte Carlo simulations. The effects of different shadowing severities are investigated. Moreover, the considered DSM system is compared against the conventional decode and forward (DF) system, and it is shown that DSM provides a better error probability, especially under lower shadowing severity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".