{"id":"W1917463349","doi":"10.1109/tcomm.2015.2456093","title":"Millimeter Wave Cellular Networks: A MAC Layer Perspective","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":405,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; York University; Vetenskapsrådet; Stiftelsen för Strategisk Forskning; New York University","keywords":"Computer network; Computer science; Physical layer; Radio resource management; Cellular network; Wireless; Scheduling (production processes); Base station; Handover; Synchronization (alternating current); Wireless network; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639033,0.0007392319,0.0004288378,0.0004450729,0.0006139542,0.003504816,0.0008999398,0.001378879,0.002082162],"category_scores_gemma":[0.001295516,0.00045199,0.0002451443,0.0006984683,0.000881691,0.002695716,0.0009623634,0.002040371,0.0006182495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290016,"about_ca_system_score_gemma":0.0008872848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826656,"about_ca_topic_score_gemma":0.002263044,"domain_scores_codex":[0.9995303,0.000113941,0.00002450472,0.00006027251,0.0001823158,0.00008869402],"domain_scores_gemma":[0.9994019,0.0002391519,0.00006619219,0.00008647055,0.0001652888,0.00004091223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006173215,0.00005720022,0.0007056335,0.0003743485,0.00004913565,0.0002000332,0.0002105257,0.05488642,0.009043285,0.828869,0.009380383,0.0961623],"study_design_scores_gemma":[0.0000199887,0.0001983739,0.001665388,0.0004893377,0.0001265324,0.0005227085,0.0004513185,0.4031687,0.008801887,0.3823726,0.20212,0.00006301638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02457696,0.07252395,0.7759467,0.02791556,0.001704811,0.0001030076,0.0003852618,0.0005403943,0.09630334],"genre_scores_gemma":[0.6887948,0.0900166,0.1854465,0.003895099,0.004602101,0.000235445,0.0001976248,0.0001079143,0.02670398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003504816,"threshold_uncertainty_score":0.009359837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09565613722390491,"score_gpt":0.2706013469799129,"score_spread":0.174945209756008,"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."}}