{"id":"W4388040470","doi":"10.1109/pimrc56721.2023.10293789","title":"LOMA Map for Location based Resource Management and Data Transmission in future RAN","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Scheduling (production processes); Radio resource management; Radio access network; Wireless; Real-time computing; Data transmission; Shared resource; Wireless network; Base station; Telecommunications; Engineering; Mobile station","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":[0.0005169035,0.0004541469,0.0004092582,0.0003989099,0.0004442044,0.0007631636,0.0009468172,0.0003701808,0.001907568],"category_scores_gemma":[0.001239954,0.0001922875,0.0002764029,0.0004135467,0.0003566908,0.001013763,0.0008361098,0.0005753656,0.000510828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361824,"about_ca_system_score_gemma":0.0007364229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236668,"about_ca_topic_score_gemma":0.002531556,"domain_scores_codex":[0.9996086,0.0001251231,0.00001681401,0.00008375914,0.0001087778,0.00005696423],"domain_scores_gemma":[0.9996622,0.0001118861,0.00005484187,0.00005525018,0.00008798594,0.00002798235],"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":[0.0001577909,0.0001125961,0.001222445,0.00009762764,0.00004589818,0.0001837742,0.0001253662,0.7333469,0.0119063,0.03292282,0.003731121,0.2161473],"study_design_scores_gemma":[0.000005473738,0.00004623216,0.0001601622,0.000004436973,0.000006077076,0.00003506086,0.00001915611,0.9920132,0.001589156,0.003120632,0.002990994,0.000009541784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007479909,0.0002085881,0.9886003,0.00005950215,0.00004832179,0.00003722332,0.00002731522,0.0005649753,0.002973818],"genre_scores_gemma":[0.7526975,0.0002757533,0.2421124,0.00009887663,0.00006461769,0.0002244627,0.0001433735,0.00006659186,0.004316404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00236668,"threshold_uncertainty_score":0.006381392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561757315280201,"score_gpt":0.2480513455085254,"score_spread":0.2324337723557234,"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."}}