{"id":"W2158573590","doi":"10.1109/nof.2015.7333304","title":"LTE-A enhanced Inter-cell Interference Coordination (eICIC) with Pico cell adaptive antenna","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Telecommunications link; Antenna (radio); Interference (communication); LTE Advanced; Topology (electrical circuits); Real-time computing; Computer network; Channel (broadcasting); Telecommunications; Electrical engineering; 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":[0.0005650607,0.0007311776,0.0004906209,0.0003265429,0.0003015714,0.0007794496,0.0007608599,0.0004132877,0.0005609174],"category_scores_gemma":[0.00140718,0.0001550416,0.0003185439,0.000680952,0.0005587824,0.0004810652,0.0003510363,0.000449239,0.0001648187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142515,"about_ca_system_score_gemma":0.0008098956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004169878,"about_ca_topic_score_gemma":0.003325986,"domain_scores_codex":[0.9990846,0.0002506312,0.00002371314,0.0001364842,0.000379894,0.0001246084],"domain_scores_gemma":[0.9990151,0.0004524334,0.0001331374,0.0001244626,0.0002294203,0.00004545463],"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":[0.0004505074,0.0001051158,0.006460687,0.0001681849,0.0001453618,0.0006649938,0.0001602669,0.8804057,0.03521873,0.02266932,0.001337203,0.05221387],"study_design_scores_gemma":[0.00001037816,0.0002104641,0.001296611,0.000006389937,0.00004390632,0.0002908865,0.00002948405,0.9895538,0.006415948,0.0008353131,0.001296356,0.00001053583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1901478,0.00373574,0.7827222,0.0001835098,0.0001663251,0.0001006425,0.000102086,0.0004397812,0.02240191],"genre_scores_gemma":[0.9651455,0.000608841,0.03261925,0.00005408607,0.00004679867,0.00004005575,0.00004643173,0.00002050451,0.00141857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004169878,"threshold_uncertainty_score":0.008291245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438994572944051,"score_gpt":0.2087222407413046,"score_spread":0.1943322950118641,"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."}}