{"id":"W2114086101","doi":"10.1109/ciss.2011.5766122","title":"Joint transceiver design and user grouping in a MIMO interfering broadcast channel","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; MIMO; Throughput; Base station; Precoding; Channel (broadcasting); Convergence (economics); Maximization; Interference (communication); Computer network; Multi-user MIMO; Joint (building); Wireless; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009332038,0.0001171651,0.0001348965,0.0001234659,0.00001541761,0.00001154964,0.00004424458,0.00005175565,0.00004072216],"category_scores_gemma":[0.00000529547,0.0001190743,0.00001666238,0.00009921307,0.00001219157,0.0002893177,0.00001074714,0.00008117184,0.000009444768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004192199,"about_ca_system_score_gemma":0.000002161078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004614243,"about_ca_topic_score_gemma":0.00003118028,"domain_scores_codex":[0.9994489,0.00001594939,0.0001898872,0.0001353862,0.00003368614,0.0001761912],"domain_scores_gemma":[0.9998314,0.00001135148,0.00001303888,0.00009099406,0.00001154818,0.00004166639],"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":[0.00004101399,0.00003671854,0.0004300288,0.0002846148,0.00004502833,0.00003222947,0.0183737,0.9361573,0.03798935,0.0005333762,0.00009273332,0.005983839],"study_design_scores_gemma":[0.0009727882,0.0000670772,0.001830571,0.0003410813,0.00001047639,0.00003770359,0.0008695681,0.9499232,0.04519745,0.0001938932,0.00008073659,0.0004754535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01903819,0.0001919993,0.9772397,0.00000320482,0.0001098953,0.0002319278,3.846067e-7,0.0002008332,0.002983912],"genre_scores_gemma":[0.9452236,0.00005423804,0.05455039,0.00001091034,0.00001562075,0.00002554999,6.17991e-7,0.00003383205,0.00008522775],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9261854,"threshold_uncertainty_score":0.4855709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095751639497099,"score_gpt":0.1990380860336858,"score_spread":0.1580805696387148,"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."}}