{"id":"W2750780858","doi":"10.3390/electronics6030063","title":"Massive MIMO Wireless Networks: An Overview","year":2017,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"MIMO; Beamforming; Precoding; Computer science; Multi-user MIMO; 3G MIMO; Electronic engineering; Wireless; Overhead (engineering); Broadband; Key (lock); Computer engineering; Telecommunications; 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":[0.0002959351,0.000683304,0.0004388234,0.0009488382,0.0002259541,0.001075004,0.0004775039,0.0007733377,0.001798067],"category_scores_gemma":[0.0004602164,0.0003188277,0.0002503385,0.001486356,0.0003521585,0.001464451,0.0006028225,0.0009200076,0.001239288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119853,"about_ca_system_score_gemma":0.0003965739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005183726,"about_ca_topic_score_gemma":0.0004870442,"domain_scores_codex":[0.9997771,0.00004839163,0.0000205665,0.00003904541,0.00009491188,0.00001989894],"domain_scores_gemma":[0.9997589,0.0001154468,0.00002300603,0.00001542313,0.00007001073,0.00001730154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008649893,0.000115988,0.001256901,0.006755664,0.0001115303,0.0005199395,0.0001775723,0.02653014,0.006821466,0.1270383,0.05000007,0.7805858],"study_design_scores_gemma":[0.00001396326,0.0003129249,0.002228569,0.001583069,0.00008442622,0.00249752,0.0001712027,0.03350114,0.002448568,0.07634998,0.8807132,0.00009548168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003405814,0.8571744,0.09385686,0.001453784,0.00159862,0.00005966204,0.0001954487,0.0001915154,0.04206387],"genre_scores_gemma":[0.04697313,0.9092234,0.02899619,0.0008451514,0.004343358,0.0001032812,0.0002563676,0.00003172567,0.009227377],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001798067,"threshold_uncertainty_score":0.006015122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564473410684731,"score_gpt":0.2615307331172148,"score_spread":0.2458859990103675,"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."}}