{"id":"W2706056020","doi":"10.1109/tsp.2018.2818082","title":"Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":719,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Channel (broadcasting); Telecommunications link; MIMO; Coherence time; Exploit; Base station; False alarm; Coherence (philosophical gambling strategy); Constant false alarm rate; Real-time computing; Algorithm; Computer network; Mathematics; Artificial intelligence; Statistics","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":[0.0007786556,0.0009734055,0.000691889,0.0003516258,0.000396332,0.001130929,0.0009648945,0.000811042,0.001069404],"category_scores_gemma":[0.004577952,0.0003024049,0.0003031445,0.0006717137,0.001222448,0.001965653,0.001624642,0.000811003,0.0001955788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005943063,"about_ca_system_score_gemma":0.000398799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005881414,"about_ca_topic_score_gemma":0.0005348669,"domain_scores_codex":[0.9989545,0.0004327832,0.00003163749,0.0001385533,0.0003035492,0.0001388491],"domain_scores_gemma":[0.9968134,0.002151438,0.0003432104,0.0004542088,0.0001676593,0.00007013523],"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":[0.0002193988,0.0001487504,0.002561557,0.0002473207,0.00005432708,0.00056739,0.00009252662,0.7732593,0.01862534,0.1375772,0.001329715,0.06531709],"study_design_scores_gemma":[0.000007393866,0.000135421,0.0006125558,0.00001554569,0.00001163285,0.0002837686,0.0000298794,0.9756746,0.003614646,0.01892773,0.000671755,0.00001512037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06472588,0.0005793722,0.9271469,0.0004269408,0.00006214283,0.00006483468,0.00008389487,0.0001722196,0.006737832],"genre_scores_gemma":[0.954325,0.000490432,0.04383959,0.00008551266,0.0001077824,0.0000772709,0.00004817699,0.00001462105,0.001011705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001130929,"threshold_uncertainty_score":0.004311979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444700513411689,"score_gpt":0.2353521364346616,"score_spread":0.2209051313005447,"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."}}