{"id":"W2971069848","doi":"10.1109/twc.2020.3036444","title":"User Pairing, Link Selection, and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Visible light communication; Computer science; Transmission (telecommunications); Computer network; Transmitter power output; Power (physics); Scheme (mathematics); Noma; Channel (broadcasting); Telecommunications; Transmitter; Telecommunications link; Mathematics; Physics; Engineering; Electrical engineering","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":[0.001973846,0.0006627075,0.0006869328,0.0003971393,0.0005611385,0.0009037731,0.0006457801,0.0005664218,0.0009225673],"category_scores_gemma":[0.003080983,0.0003529813,0.0003043613,0.0005555207,0.0007182758,0.0006316481,0.0009690427,0.000429357,0.000271554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576983,"about_ca_system_score_gemma":0.00071668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007699291,"about_ca_topic_score_gemma":0.001439107,"domain_scores_codex":[0.9981771,0.001277986,0.00002797768,0.0001116056,0.0002710882,0.0001342922],"domain_scores_gemma":[0.9988906,0.0007375569,0.0001327262,0.0000866827,0.0001011002,0.00005137876],"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":[0.0002374368,0.000130488,0.001226059,0.00007256227,0.00004493072,0.0001670032,0.0001698364,0.9092726,0.008741966,0.02246775,0.0007133372,0.05675605],"study_design_scores_gemma":[0.00001075282,0.00009003452,0.000145368,0.000003207093,0.000007351898,0.00004300904,0.00002087023,0.9944108,0.0006889323,0.004199627,0.0003741497,0.000005939271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05052996,0.0003834482,0.9449115,0.00008675709,0.00002958102,0.00007597574,0.00001577946,0.0001356727,0.003831363],"genre_scores_gemma":[0.9410074,0.0001616317,0.05751423,0.00003358303,0.00003055056,0.00009308729,0.00001476313,0.00001570211,0.001129006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001973846,"threshold_uncertainty_score":0.01043886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082631347195612,"score_gpt":0.2638635570636737,"score_spread":0.2330372435917176,"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."}}