{"id":"W2973078122","doi":"10.1109/access.2019.2940458","title":"Multiuser Massive MIMO Systems With Time-Offset Pilots and Successive Interference Cancellation","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Bộ Giáo dục và Ðào tạo","keywords":"Single antenna interference cancellation; Telecommunications link; MIMO; Computer science; Power control; Offset (computer science); Base station; Spectral efficiency; Frequency offset; Interference (communication); Transmitter power output; Real-time computing; Channel (broadcasting); Algorithm; Control theory (sociology); Power (physics); Orthogonal frequency-division multiplexing; Telecommunications; Transmitter; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004736536,0.0001857414,0.0002229651,0.00009357632,0.0000388598,0.0001464609,0.0001803655,0.00007702439,0.00003333237],"category_scores_gemma":[0.000008208568,0.0001606424,0.00001219924,0.0001794724,0.00002347695,0.0008974816,0.00002771839,0.000108738,0.0000918997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009678239,"about_ca_system_score_gemma":0.00001594639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001233332,"about_ca_topic_score_gemma":0.0000600517,"domain_scores_codex":[0.999202,0.0000252549,0.0002085488,0.0002522391,0.0001145218,0.0001974518],"domain_scores_gemma":[0.9994041,0.00007366732,0.0001044534,0.0002326506,0.0001216986,0.00006341614],"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":[0.00002931868,0.00000568211,0.007351527,0.0002272299,0.00003324309,0.000004487285,0.0002043742,0.9862291,0.005158243,0.00002209142,0.0003519368,0.0003828069],"study_design_scores_gemma":[0.0008650074,0.00006835371,0.001185112,0.0005088735,0.00002094403,0.00001152391,0.000102857,0.9893172,0.007302087,0.0000140682,0.000214437,0.0003895878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6450401,0.0004566768,0.3483632,0.00002023423,0.001287712,0.001164154,0.0000360131,0.000372701,0.003259241],"genre_scores_gemma":[0.9986641,0.00003402681,0.0003543543,0.00001082879,0.00008906618,0.00006096041,0.00002133884,0.00004744483,0.0007179147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.353624,"threshold_uncertainty_score":0.6550808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009339725877302878,"score_gpt":0.2316901269113548,"score_spread":0.2223504010340519,"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."}}