{"id":"W1970630387","doi":"10.1049/iet-com.2012.0603","title":"Joint beamforming design and base‐station assignment in a coordinated multicell system","year":2013,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Base station; Computer science; Telecommunications link; Relaxation (psychology); Mathematical optimization; Transmitter power output; Interference (communication); Heuristic; Telecommunications; Mathematics; Transmitter","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":[0.0007286164,0.0009622634,0.0008702903,0.0004447272,0.0004119022,0.001102797,0.000660591,0.0008842536,0.001284298],"category_scores_gemma":[0.001329982,0.0004659007,0.0003989884,0.0008778759,0.0006744428,0.0007804489,0.0008080493,0.0005750097,0.0003981484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008253154,"about_ca_system_score_gemma":0.001199215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005025893,"about_ca_topic_score_gemma":0.00408402,"domain_scores_codex":[0.9991886,0.000307934,0.00002353985,0.0001493002,0.0001644631,0.0001661245],"domain_scores_gemma":[0.9995139,0.0002036551,0.00008408958,0.0000352167,0.0001167845,0.00004635452],"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":[0.00008326639,0.00003089531,0.0003431849,0.00003921027,0.00004254328,0.00008635854,0.00004961633,0.961847,0.006095378,0.006996704,0.0008332609,0.0235527],"study_design_scores_gemma":[0.00002226004,0.00007422669,0.0001524769,0.000004671467,0.00001937045,0.00003000806,0.00003445945,0.9937966,0.001517044,0.003610193,0.0007289408,0.000009798339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02811902,0.0002913889,0.9678609,0.0001856393,0.00002803691,0.00003354321,0.00003894894,0.0001248223,0.003317668],"genre_scores_gemma":[0.8307855,0.0004495078,0.16469,0.0001648921,0.00007248947,0.0001714741,0.00009030895,0.00004793112,0.003527865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005025893,"threshold_uncertainty_score":0.009993255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813802325236919,"score_gpt":0.228822275216804,"score_spread":0.2006842519644348,"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."}}