{"id":"W3194401032","doi":"10.1109/twc.2021.3103607","title":"Device-to-Device Aided Cooperative NOMA Transmission Exploiting Overheard Signal","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Foundation of Korea; Natural Sciences and Engineering Research Council of Canada; Sejong University","keywords":"Noma; Signal-to-noise ratio (imaging); Interference (communication); Computer science; Base station; Transmission (telecommunications); Telecommunications link; Single antenna interference cancellation; Diversity gain; Relay; Telecommunications; Computer network; Physics; Topology (electrical circuits); Fading; Decoding methods; Mathematics; Power (physics); Channel (broadcasting); Combinatorics","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":[0.0003398528,0.0007522173,0.0006592875,0.0003498876,0.0007327181,0.000608322,0.0008474358,0.000505097,0.0009653847],"category_scores_gemma":[0.0008004645,0.0002228543,0.0004772077,0.0005270239,0.0005588788,0.0005932726,0.001056276,0.0004124641,0.0003142689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418708,"about_ca_system_score_gemma":0.0005939283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249775,"about_ca_topic_score_gemma":0.003774196,"domain_scores_codex":[0.9996388,0.0001055203,0.00001601328,0.000072633,0.00009628707,0.00007081687],"domain_scores_gemma":[0.9994356,0.0002153621,0.00008242453,0.0001102757,0.0001217547,0.00003456553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009988901,0.0002542778,0.007383831,0.0008022389,0.0002840653,0.00368351,0.001002947,0.3224263,0.3611,0.06886801,0.006539193,0.2266567],"study_design_scores_gemma":[0.00002931657,0.0003899077,0.0009360869,0.00001871609,0.00006535891,0.0009758237,0.0001258817,0.9644583,0.02291261,0.004316054,0.005720349,0.00005154767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2154727,0.001227099,0.7680991,0.0003452844,0.0002745471,0.0001035212,0.0002134901,0.0005710828,0.01369313],"genre_scores_gemma":[0.9537621,0.0003267867,0.04242966,0.00007565715,0.00004555325,0.00006735603,0.00007096285,0.000006608327,0.003215354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001249775,"threshold_uncertainty_score":0.003229558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957336145040673,"score_gpt":0.2844940352674883,"score_spread":0.2449206738170816,"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."}}