{"id":"W1978244168","doi":"10.1109/twc.2014.2348565","title":"Location-Aware Cross-Tier Coordinated Multipoint Transmission in Two-Tier Cellular Networks","year":2014,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Computer science; Cellular network; Backhaul (telecommunications); Computer network; Base station; Telecommunications link; Interference (communication); Transmission (telecommunications); Heterogeneous network; Stochastic geometry; Transmitter power output; Channel (broadcasting); Wireless network; Wireless; Telecommunications; Transmitter","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":[0.0009419157,0.0008573589,0.0006860854,0.0004379904,0.0004575302,0.0009212783,0.0008954284,0.0006956934,0.0004800798],"category_scores_gemma":[0.002500952,0.0003903904,0.0004445414,0.001008289,0.0009264537,0.0007766533,0.001323841,0.000462189,0.0001394987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009789253,"about_ca_system_score_gemma":0.0006552928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426169,"about_ca_topic_score_gemma":0.004202455,"domain_scores_codex":[0.9989693,0.0003922438,0.00003832821,0.0001699719,0.0002568737,0.0001732068],"domain_scores_gemma":[0.9986045,0.0006441054,0.0002583829,0.000157481,0.0002578704,0.00007760616],"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":[0.00008710203,0.00004083461,0.001353423,0.00007302118,0.00004736803,0.000362939,0.00009459526,0.944433,0.01120885,0.02497952,0.0008348962,0.01648446],"study_design_scores_gemma":[0.000004043191,0.00004494122,0.0002819366,0.000003337632,0.000008734067,0.0000788901,0.00001582692,0.995932,0.0009812117,0.002395586,0.0002427642,0.00001062719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05130107,0.0004606826,0.9459425,0.0001279369,0.00004213147,0.00003268188,0.00007331857,0.0002167118,0.001803048],"genre_scores_gemma":[0.9766252,0.0003521422,0.02228903,0.00006460529,0.00001906131,0.00003363799,0.00004609837,0.000009931798,0.0005601732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004426169,"threshold_uncertainty_score":0.008800864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637117157834364,"score_gpt":0.275296941648334,"score_spread":0.2589257700699904,"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."}}