Beamforming Designs for Multiple UAV Interference Systems With LOS Channels
Bibliographic record
Abstract
This work is on the beamforming designs for the interference cancellation and mitigation in a system where multiple ground base stations equipped with uniform linear antenna arrays communicate with their associated unmanned aerial vehicle (UAV) users with the same time-frequency resource. Under the line-of-sight (LOS) channel condition, the interference between non-associated pairs of ground base stations and UAVs is a prominent issue that degrades the communication performance. For both the uplink and downlink communications, through identifying the beamforming vectors with polynomials, we derive beamforming solutions in closed-forms that can fully cancel the interference and have the highest SINR under the interference-free condition. The SINR expressions of the proposed interference-free designs are also obtained in closed-form, revealing the effect of the systems parameters and the UAV locations. For the uplink transmissions, the SINR-maximum receive beamforming design is also investigated, where the beamforming solution and the SINR result are obtained in closed-forms. Simulation results are provided for the sum-rate performance of the beamforming designs and for the validation of the theoretical analysis.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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 | 0.000 |
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".