{"id":"W4416323772","doi":"10.1109/tcomm.2025.3634252","title":"Beamforming Designs for Multiple UAV Interference Systems With LOS Channels","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; WSDMA; Telecommunications link; Base station; Interference (communication); Channel (broadcasting); Antenna array","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006370039,0.001460464,0.0005029651,0.0004335259,0.0003510837,0.0006705563,0.0005107122,0.0006273226,0.002536757],"category_scores_gemma":[0.001768948,0.0003755504,0.000502564,0.0009166953,0.0004558735,0.0007034363,0.0007098808,0.0006710693,0.00100924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003982066,"about_ca_system_score_gemma":0.0005853586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000890931,"about_ca_topic_score_gemma":0.001190608,"domain_scores_codex":[0.9992449,0.000308053,0.0000374406,0.0001085844,0.0002239602,0.00007705829],"domain_scores_gemma":[0.9994065,0.0002526506,0.0001274104,0.00003380411,0.0001583988,0.00002122273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001652625,0.00007481343,0.0008934501,0.0005058909,0.0001054885,0.0002802844,0.0002514791,0.6935061,0.04523807,0.05894629,0.002769947,0.197263],"study_design_scores_gemma":[0.00005028881,0.0004603629,0.000462772,0.00007585487,0.00005527761,0.0002770293,0.0001245624,0.9650865,0.0103683,0.01746586,0.005528914,0.00004421269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004518925,0.0003725769,0.9925693,0.00006795653,0.00002794788,0.00002568357,0.00002789689,0.00005509368,0.002334607],"genre_scores_gemma":[0.5218536,0.00305066,0.4672174,0.0002739195,0.0002442912,0.0004592828,0.0002666134,0.00005733709,0.006576868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002536757,"threshold_uncertainty_score":0.008486271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698644900073002,"score_gpt":0.2766050349413391,"score_spread":0.2296185859406091,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}