{"id":"W2035606571","doi":"10.1109/ciss.2008.4558664","title":"Multiuser linear precoding for cooperating base stations with asynchronous interference","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Asynchronous communication; Computer science; Base station; Zero-forcing precoding; Cyclic prefix; Duality (order theory); Interference (communication); Orthogonal frequency-division multiplexing; Multiplexing; MIMO; Mathematical optimization; Mathematics; Computer network; Telecommunications; Beamforming; Channel (broadcasting)","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":[0.0008118268,0.0005100661,0.0005600941,0.0002320831,0.0003699374,0.0007970884,0.0004699742,0.0005591857,0.001206321],"category_scores_gemma":[0.00173825,0.0002649705,0.000430818,0.0006769203,0.0004535663,0.0006672079,0.0005757625,0.0006076944,0.0003184143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055247,"about_ca_system_score_gemma":0.000508479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410794,"about_ca_topic_score_gemma":0.001815325,"domain_scores_codex":[0.9994185,0.0003050794,0.00001684683,0.00005795696,0.0001187747,0.0000829184],"domain_scores_gemma":[0.9990385,0.0005985515,0.0001102191,0.00009522095,0.0001240853,0.00003352939],"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":[0.0000981818,0.000062817,0.0006748883,0.00003444216,0.00002744114,0.00019498,0.00008476507,0.9324427,0.005240635,0.03322159,0.0006134327,0.02730409],"study_design_scores_gemma":[0.0000116224,0.00004078533,0.00008890233,0.000001880353,0.000004519981,0.00002200229,0.00001185352,0.994105,0.0007887552,0.004617253,0.0003045452,0.000002882098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07321232,0.0002007124,0.9194877,0.0001417697,0.00002852093,0.00002337191,0.00003121068,0.00007653698,0.006797739],"genre_scores_gemma":[0.9034685,0.000224739,0.09348613,0.00006411226,0.00004715927,0.000056316,0.00003770597,0.00001815464,0.002597165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001410794,"threshold_uncertainty_score":0.004293442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382579363986179,"score_gpt":0.2380314421285731,"score_spread":0.2142056484887113,"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."}}