{"id":"W2912061344","doi":"10.1109/tvt.2019.2895551","title":"Delay Analysis of Spatially Coded MIMO-ZFBF With Retransmissions in Random Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Retransmission; MIMO; Beamforming; Algorithm; Fading; Non-line-of-sight propagation; Computer science; Coverage probability; Telecommunications link; Topology (electrical circuits); Mathematics; Computer network; Network packet; Statistics; Telecommunications; Decoding methods; Wireless","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":[0.001317975,0.0006294286,0.0004379178,0.0007566246,0.0004534826,0.0006866797,0.0009846748,0.0007044385,0.001379412],"category_scores_gemma":[0.005212559,0.000356026,0.00035078,0.0006203738,0.001033238,0.001026428,0.000557816,0.0004745231,0.0001664282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664813,"about_ca_system_score_gemma":0.0008825404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007165902,"about_ca_topic_score_gemma":0.004114956,"domain_scores_codex":[0.9995696,0.000135254,0.00001261497,0.00005684565,0.000108346,0.0001173786],"domain_scores_gemma":[0.9963334,0.002379832,0.0005944485,0.00009153083,0.0004808146,0.0001200486],"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":[0.00004916807,0.000008833553,0.0005564636,0.00003229793,0.00001021749,0.00009594973,0.00005435744,0.9719473,0.00219735,0.02311841,0.000252044,0.001677596],"study_design_scores_gemma":[0.000002389467,0.00001130235,0.0001043773,0.000002475358,0.000003077564,0.00001717048,0.00001149463,0.9982999,0.0002233439,0.001257293,0.00006236164,0.000004933614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3722706,0.001502536,0.6141997,0.0006875686,0.00008235721,0.00008332499,0.0002601368,0.0003746195,0.01053916],"genre_scores_gemma":[0.988694,0.0003465514,0.00873788,0.00005257743,0.0000196755,0.00003915732,0.00004684837,0.00003502816,0.002028282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007165902,"threshold_uncertainty_score":0.01933473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00364013588273121,"score_gpt":0.1951115822156381,"score_spread":0.1914714463329069,"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."}}