{"id":"W2886278914","doi":"10.1109/icc.2018.8423030","title":"Capacity Enhancement for mmWave Multi-Beam Satellite-Terrestrial Backhaul via Beam Sharing","year":2018,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Beamwidth; Backhaul (telecommunications); Computer science; Communications satellite; Spectral efficiency; Bandwidth (computing); Computer network; Satellite; Electronic engineering; Telecommunications; Engineering; Base station; Aerospace engineering","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":[0.0009008435,0.0005634806,0.0005924999,0.0005302967,0.0005109208,0.0005381392,0.0008593115,0.0003709845,0.001593235],"category_scores_gemma":[0.001694275,0.0001788241,0.000403652,0.001054258,0.0006511292,0.0007616266,0.001009192,0.0003183487,0.000206442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006791755,"about_ca_system_score_gemma":0.0007491219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872228,"about_ca_topic_score_gemma":0.002200585,"domain_scores_codex":[0.9992917,0.0002648635,0.00001959346,0.00006109455,0.0001718292,0.0001910679],"domain_scores_gemma":[0.9988642,0.0006441289,0.0001548929,0.000127034,0.0001506165,0.00005911716],"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":[0.000389594,0.000160601,0.00137748,0.0001320446,0.00008041743,0.00021998,0.0001352262,0.8573694,0.03045956,0.02352811,0.001399086,0.08474839],"study_design_scores_gemma":[0.00001609253,0.0001135558,0.0002732642,0.000007092544,0.00001711764,0.0000907888,0.0000262901,0.9908127,0.005099082,0.00311428,0.0004175307,0.0000121895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2690569,0.00148043,0.7196355,0.0002417174,0.00006961475,0.00008339585,0.00008036792,0.0003934136,0.008958681],"genre_scores_gemma":[0.9809975,0.0002088296,0.01831573,0.00003009366,0.00001751283,0.00002629789,0.00002103051,0.000008887925,0.0003739902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001872228,"threshold_uncertainty_score":0.005329907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0876957881984339,"score_gpt":0.2902611963822876,"score_spread":0.2025654081838537,"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."}}