{"id":"W4312971400","doi":"10.1109/ojcoms.2022.3219419","title":"Distributed Massive MIMO for LEO Satellite Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Satellite Communication Systems","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Carleton University","funders":"National Research Council Canada","keywords":"Handover; Computer science; MIMO; Quality of service; Satellite; Throughput; Computer network; Software deployment; Distributed computing; Constellation; Communications satellite; Network architecture; Real-time computing; Wireless; Telecommunications; Channel (broadcasting); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001742603,0.0002640137,0.0001526612,0.0001216997,0.0002382969,0.000339748,0.0002649215,0.0002299959,0.0009785892],"category_scores_gemma":[0.0003701261,0.00007880812,0.0001325428,0.0001848595,0.0002343426,0.0003215208,0.0003153897,0.0004656907,0.0002120303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796334,"about_ca_system_score_gemma":0.0002659005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059224,"about_ca_topic_score_gemma":0.002817918,"domain_scores_codex":[0.9998895,0.00003426914,0.000002159934,0.0000158548,0.00003782844,0.00002044673],"domain_scores_gemma":[0.9998604,0.00006035391,0.00001898857,0.00002034487,0.00002738381,0.00001245191],"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":[0.0001269256,0.00006296825,0.001321146,0.0001692641,0.00004414066,0.0003509265,0.0001289891,0.7452699,0.04642694,0.07414204,0.0042981,0.1276587],"study_design_scores_gemma":[0.00001141819,0.0001052578,0.0004770144,0.00001159519,0.00001114139,0.0001094147,0.00004032591,0.9768962,0.003344163,0.01491394,0.004070505,0.00000900853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05167598,0.002146847,0.9299113,0.0005964445,0.0001528665,0.00004091439,0.00008119496,0.0002646828,0.01512977],"genre_scores_gemma":[0.9351563,0.0009911645,0.05977138,0.0001036094,0.00009899,0.00003791583,0.00005937902,0.000009520224,0.00377178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001059224,"threshold_uncertainty_score":0.003480017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332774625164331,"score_gpt":0.3012828923922563,"score_spread":0.237955146140613,"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."}}