{"id":"W2001824121","doi":"10.1109/glocom.2006.649","title":"WLC06-5: A Novel Nonlinear Joint Transmitter-Receiver Processing Algorithm for the Downlink of Multi-User MIMO Systems","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; MIMO; Computer science; Telecommunications link; Algorithm; Base station; Multi-user MIMO; Joint (building); Electronic engineering; Channel (broadcasting); Telecommunications; Engineering","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":[0.0007668615,0.000883883,0.0006851984,0.0005011612,0.0004650583,0.0009443847,0.001052829,0.001047879,0.0032224],"category_scores_gemma":[0.001090787,0.0003286663,0.0004066956,0.0007332122,0.0004758266,0.001003272,0.0008447502,0.001103917,0.001892606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320122,"about_ca_system_score_gemma":0.001734977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514655,"about_ca_topic_score_gemma":0.004194159,"domain_scores_codex":[0.9995446,0.0001046285,0.00002284235,0.0000598857,0.0002186829,0.00004932461],"domain_scores_gemma":[0.9996638,0.00008617993,0.00004368007,0.00005021488,0.0001355958,0.00002042828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002253072,0.0001236671,0.0007337045,0.0001616477,0.00005672987,0.00008551965,0.0001072024,0.4223424,0.02273761,0.03051357,0.008481295,0.5144314],"study_design_scores_gemma":[0.00003007652,0.00006630837,0.0001288601,0.000008063043,0.000004667751,0.00005433782,0.000008781261,0.9859044,0.00586345,0.002617265,0.005297804,0.00001585813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002330517,0.00006127065,0.9959799,0.00005104062,0.00002192765,0.00002733165,0.00003531662,0.0002256681,0.001267044],"genre_scores_gemma":[0.05035976,0.0001085699,0.9449769,0.00008942048,0.00003038934,0.0001346097,0.0002616156,0.00007951129,0.00395931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0032224,"threshold_uncertainty_score":0.01078004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512560698265545,"score_gpt":0.2282686391045422,"score_spread":0.2131430321218868,"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."}}