{"id":"W2498783604","doi":"10.1109/tvt.2016.2594031","title":"Performance of Massive MIMO Uplink With Zero-Forcing Receivers Under Delayed Channels","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Vetenskapsrådet; Queen's University; Queen's University Belfast; European Commission","keywords":"Telecommunications link; MIMO; Base station; Channel (broadcasting); Ergodic theory; Probability density function; Transmitter power output; Scaling; Signal-to-noise ratio (imaging)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170492,0.0009208048,0.0007718789,0.0003443564,0.0005971956,0.0008659188,0.0006281234,0.0009657209,0.0007053753],"category_scores_gemma":[0.004630608,0.000265358,0.00033092,0.0003994173,0.001069194,0.0007480576,0.0009375013,0.0005277608,0.0001839666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007463358,"about_ca_system_score_gemma":0.0008163105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003260337,"about_ca_topic_score_gemma":0.001897329,"domain_scores_codex":[0.9991762,0.0002526287,0.00002932111,0.0001024249,0.0002247503,0.000214627],"domain_scores_gemma":[0.9966186,0.002099704,0.0003340319,0.0002766745,0.0005557366,0.0001151046],"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":[0.0003603435,0.0000436583,0.00317453,0.00008941049,0.00005287367,0.0003337776,0.000111466,0.9698859,0.01453343,0.004056998,0.0002283098,0.0071293],"study_design_scores_gemma":[0.00001098086,0.0001805045,0.001280556,0.00001030527,0.00002511311,0.0001214931,0.00005056793,0.9899192,0.007236075,0.001064652,0.00007998753,0.00002065175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640015,0.0009610055,0.1285817,0.000268933,0.000068476,0.00001895063,0.0001565909,0.0003101431,0.005632635],"genre_scores_gemma":[0.9974836,0.0001017902,0.002065204,0.00002186911,0.0000101321,0.000004700564,0.00002586565,0.000005927088,0.0002810443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003260337,"threshold_uncertainty_score":0.00648272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006496169765349037,"score_gpt":0.1930280247955602,"score_spread":0.1865318550302112,"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."}}