{"id":"W2787867983","doi":"10.1109/vtcfall.2017.8288192","title":"Eliminating Pilot Contamination Using Dual Pilot Sequences in Massive MIMO","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Telecommunications link; Computer science; Dual (grammatical number); Transmission (telecommunications); Pilot signal; Interference (communication); Channel (broadcasting); Set (abstract data type); Computer network; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001744646,0.000135927,0.0001587101,0.0001158567,0.0001707078,0.0001030834,0.0001340604,0.0000409599,0.0000261747],"category_scores_gemma":[0.0001724267,0.0001427431,0.00001444283,0.00006665147,0.0000391694,0.0008283355,0.00003578937,0.0001004366,0.0000126053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121011,"about_ca_system_score_gemma":0.00001523331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999168,"about_ca_topic_score_gemma":0.0005554872,"domain_scores_codex":[0.9992186,0.00002282042,0.0002668944,0.0001662523,0.000109659,0.0002157781],"domain_scores_gemma":[0.999492,0.00004982768,0.0001167324,0.0002377107,0.00006807185,0.00003566659],"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":[0.00001105646,0.00002734216,0.00327497,0.00008850909,0.0000138158,0.00002674127,0.00035567,0.8994416,0.0908199,0.002445366,0.00003163454,0.003463394],"study_design_scores_gemma":[0.0007251239,0.0001164038,0.004853798,0.0001758481,0.000008173034,0.00001108325,0.0004481663,0.9775864,0.01548797,0.000286523,0.00002142058,0.0002790341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3736894,0.00009248811,0.6044419,0.0000574257,0.000874635,0.0004313631,0.000004839129,0.000283917,0.02012397],"genre_scores_gemma":[0.9784513,0.00001252523,0.02117974,0.000008584156,0.00008376682,0.00001820442,0.000005688732,0.00002936901,0.0002108337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6047619,"threshold_uncertainty_score":0.5820896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174894032255382,"score_gpt":0.2835352632052402,"score_spread":0.2417863228826864,"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."}}