{"id":"W2987247760","doi":"10.1109/vtcfall.2019.8891242","title":"Sphere Decoding for Millimeter Wave Massive MIMO","year":2019,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; University of Ottawa","funders":"","keywords":"MIMO; Beamforming; Decoding methods; Computer science; Base station; Minimum mean square error; Extremely high frequency; Channel state information; Path loss; Planar array; Antenna (radio); Electronic engineering; Channel (broadcasting); Antenna array; Wireless; Transmission (telecommunications); Telecommunications; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005675061,0.0006621113,0.0005858339,0.0003708081,0.0003278689,0.0007797078,0.0003933277,0.0006530144,0.001979863],"category_scores_gemma":[0.003205852,0.0002416836,0.000338877,0.0006815949,0.0007924111,0.00066115,0.0009978471,0.0008027852,0.001588909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651388,"about_ca_system_score_gemma":0.0008629485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041527,"about_ca_topic_score_gemma":0.001678964,"domain_scores_codex":[0.9994521,0.0002055326,0.00002684535,0.0000551146,0.0002112319,0.00004921288],"domain_scores_gemma":[0.999073,0.0004588754,0.00007309241,0.0001281881,0.00022832,0.00003847033],"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":[0.0001589858,0.00003102608,0.0004540399,0.0001360299,0.0000390046,0.0001530174,0.0001607634,0.6102875,0.01819384,0.2047637,0.0057826,0.1598395],"study_design_scores_gemma":[0.000008010563,0.0000288186,0.0000759587,0.00001151989,0.000003258463,0.00005761085,0.00001140345,0.9662148,0.005019757,0.02536349,0.003194427,0.00001109512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006395677,0.0004761158,0.9877114,0.0001823544,0.0000684674,0.00001931184,0.0000601548,0.0002780628,0.004808462],"genre_scores_gemma":[0.5566843,0.002657567,0.4267347,0.0003203014,0.0002872211,0.0001880347,0.0004756051,0.0001733705,0.01247887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002041527,"threshold_uncertainty_score":0.006623268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464440006774275,"score_gpt":0.2197152596674278,"score_spread":0.1950708595996851,"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."}}