{"id":"W3217635768","doi":"10.1109/tit.2021.3130753","title":"Interference Alignment for the <i>K</i>-User MIMO Interference Channel","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Notation; Interference (communication); Channel (broadcasting); MIMO; Transmitter; Mathematics; Algorithm; Topology (electrical circuits); Discrete mathematics; Combinatorics; Computer science; Telecommunications; Arithmetic","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008638354,0.001579185,0.001003255,0.0004766622,0.0009544297,0.00170537,0.001373508,0.001560787,0.006104264],"category_scores_gemma":[0.002277375,0.0004120544,0.000851113,0.001644203,0.001596187,0.001782475,0.00165419,0.00143988,0.002391585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054055,"about_ca_system_score_gemma":0.001199628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876732,"about_ca_topic_score_gemma":0.0020131,"domain_scores_codex":[0.9989517,0.0003126012,0.00003864023,0.0001580665,0.0002482726,0.0002907083],"domain_scores_gemma":[0.9983311,0.0007550793,0.0004097605,0.0001551119,0.0002495479,0.00009934454],"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":[0.0004899331,0.0001326456,0.002053874,0.0005251563,0.00007201423,0.001251731,0.0003217495,0.759387,0.01016589,0.1913266,0.005897088,0.02837635],"study_design_scores_gemma":[0.00003385945,0.0001340108,0.0006356703,0.00004739349,0.00004107083,0.0006282204,0.0001330267,0.9531451,0.003497064,0.03830244,0.003334777,0.00006736865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04822244,0.001763189,0.9218286,0.0007908181,0.0001960913,0.00008720982,0.0005361928,0.0002273563,0.02634815],"genre_scores_gemma":[0.8835818,0.004635449,0.09216955,0.0005809339,0.0005873673,0.0003121249,0.0007789149,0.0001741224,0.01717985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006104264,"threshold_uncertainty_score":0.02042079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110129396814255,"score_gpt":0.2188647190763902,"score_spread":0.2077634251082476,"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."}}