{"id":"W3134238047","doi":"10.1109/lcomm.2021.3062111","title":"Simultaneous Cellular and D2D Communications Exploiting Cooperative Uplink NOMA","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Sejong University","keywords":"Telecommunications link; Noma; Base station; Computer science; Ergodic theory; Transmission (telecommunications); Computer network; Throughput; Telecommunications; Wireless; Mathematics","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":[0.0004787612,0.0007771997,0.0006774325,0.0005111434,0.000794029,0.0009002613,0.0007757313,0.0006487076,0.0006906994],"category_scores_gemma":[0.001177024,0.0002911834,0.0004590096,0.001043715,0.0007011567,0.0007559076,0.001878983,0.0004487273,0.0002464555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052314,"about_ca_system_score_gemma":0.0006090718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157144,"about_ca_topic_score_gemma":0.003322527,"domain_scores_codex":[0.9993044,0.0002512246,0.00002633161,0.0001034804,0.000160579,0.0001539406],"domain_scores_gemma":[0.9992756,0.0003430147,0.00007712234,0.0001289174,0.0001265445,0.00004889224],"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":[0.0008823221,0.0002558292,0.00709399,0.0006000646,0.0002863549,0.002787037,0.0007635432,0.5257071,0.09760632,0.1084838,0.004771852,0.2507618],"study_design_scores_gemma":[0.00002499868,0.0002365661,0.000416888,0.00001378481,0.00004460165,0.000550502,0.00009835377,0.9832866,0.006536185,0.00561952,0.003139682,0.00003228803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1466085,0.001373781,0.8366024,0.0002716958,0.0001602617,0.00006171066,0.00007268616,0.0002859026,0.01456313],"genre_scores_gemma":[0.9666451,0.0003224028,0.03114001,0.00007552393,0.00003891062,0.00004983707,0.00002947594,0.000005843101,0.001692872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00157144,"threshold_uncertainty_score":0.003124535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778601893423916,"score_gpt":0.2562400331970515,"score_spread":0.2284540142628123,"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."}}