{"id":"W4321780093","doi":"10.1109/twc.2023.3246460","title":"Multi-Objective Robust Beamforming for Integrated Satellite and Aerial Networks Supporting Heterogeneous Services","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Nanjing University of Posts and Telecommunications; National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Exploit; Maximization; Transmitter power output; Mathematical optimization; Computer network; Channel (broadcasting); Telecommunications; Mathematics","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":[0.0007587806,0.001026258,0.0006242248,0.0003762926,0.0002527862,0.0005457017,0.0005922921,0.0006432438,0.001394543],"category_scores_gemma":[0.001078587,0.0003051307,0.000502841,0.0005205279,0.0004923323,0.0007290203,0.0006200525,0.0007423405,0.0002581486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567097,"about_ca_system_score_gemma":0.0006469921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898365,"about_ca_topic_score_gemma":0.002471171,"domain_scores_codex":[0.9996276,0.0001324685,0.0000133284,0.00006034826,0.0001142039,0.00005204757],"domain_scores_gemma":[0.9996486,0.0001972176,0.00005826145,0.00001696221,0.00006093212,0.0000181355],"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":[0.0000481725,0.00001952236,0.0001868362,0.00005221113,0.00003123394,0.00004431363,0.00002529752,0.953713,0.006279599,0.008229387,0.0004707811,0.03089962],"study_design_scores_gemma":[0.000005404248,0.00002655112,0.0000361008,0.000003016483,0.000004027925,0.000007869622,0.000006365428,0.9978976,0.0004844731,0.001298623,0.0002262622,0.000003595085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006780741,0.000137777,0.9917768,0.00006156602,0.00001233642,0.00001430595,0.00001756181,0.00005285043,0.001146001],"genre_scores_gemma":[0.6376349,0.0005065474,0.3578561,0.0001455429,0.00004829166,0.0001730429,0.0001443175,0.00005453802,0.003436692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002898365,"threshold_uncertainty_score":0.005763054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059734922576698,"score_gpt":0.2791879304331652,"score_spread":0.2385905812073982,"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."}}