{"id":"W3206387549","doi":"10.1109/twc.2021.3119226","title":"Subchannel and Power Allocation in Downlink VLC Under Different System Configurations","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; Visible light communication; Optimization problem; Mathematical optimization; Orthogonal frequency-division multiple access; Resource allocation; Transmitter power output; Interference (communication); Channel (broadcasting); Algorithm; Transmitter; Computer network; Orthogonal frequency-division multiplexing; Mathematics; Engineering","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":[0.0007138355,0.000408566,0.000431483,0.0003690795,0.0003817245,0.0007214085,0.0003768821,0.000347248,0.000747318],"category_scores_gemma":[0.002253445,0.000158122,0.0001882731,0.0007076147,0.000540645,0.0005567892,0.0004974989,0.0003078158,0.0001161511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007551041,"about_ca_system_score_gemma":0.0007277206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004700417,"about_ca_topic_score_gemma":0.005548801,"domain_scores_codex":[0.9994018,0.0002161769,0.00001975207,0.00007667159,0.000127869,0.0001576721],"domain_scores_gemma":[0.9991614,0.0004719687,0.0001046626,0.00005985835,0.0001549031,0.00004714732],"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":[0.0002633683,0.00008194735,0.001926345,0.00004906893,0.00002640082,0.0001411099,0.00007437661,0.9434342,0.0181401,0.0030952,0.0003363154,0.03243155],"study_design_scores_gemma":[0.0000102433,0.00009294628,0.001087757,0.000004598457,0.00001407517,0.00005649775,0.000075052,0.9913359,0.006032761,0.00112637,0.000153143,0.00001070262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019209,0.0007979342,0.2870285,0.0002041554,0.00002822875,0.00006846884,0.000132063,0.0002034112,0.009616397],"genre_scores_gemma":[0.9888531,0.0001064301,0.01068051,0.00001725052,0.000004166829,0.00001755967,0.00002676709,0.000009198799,0.0002849957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004700417,"threshold_uncertainty_score":0.009346128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200076082792704,"score_gpt":0.2409967154174714,"score_spread":0.2189959545895444,"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."}}