{"id":"W3152772956","doi":"10.1109/twc.2021.3072553","title":"Joint Time and Power Allocation for 5G NR Unlicensed Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Throughput; Resource allocation; Quality of service; Channel (broadcasting); Transmitter power output; Resource management (computing); Cellular network; Transmission (telecommunications)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003131548,0.000182415,0.0002553414,0.0001105966,0.0007329988,0.0003148972,0.0008334094,0.0001270055,0.00001782887],"category_scores_gemma":[0.000006791345,0.000193326,0.0001112772,0.0004595747,0.0001014481,0.0003502415,0.00001210934,0.0002660559,0.00004418987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006791778,"about_ca_system_score_gemma":0.0001546436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000432239,"about_ca_topic_score_gemma":0.00005570419,"domain_scores_codex":[0.9985327,0.0002543404,0.0003860075,0.0003811904,0.0001870318,0.0002587518],"domain_scores_gemma":[0.996661,0.0005003917,0.0001253234,0.002243344,0.0003445086,0.0001254037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001516699,0.004635163,0.00003132513,0.0004968885,0.0008970147,0.00001290163,0.006501604,0.165463,0.1022043,0.3389623,0.007448069,0.3731958],"study_design_scores_gemma":[0.001120727,0.000178106,0.0001448521,0.0002864754,0.00004154966,0.00005632915,0.0001021218,0.9546106,0.02019778,0.000583021,0.02218063,0.0004977455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001530715,0.0003389489,0.9897581,0.004499087,0.0002701814,0.002428842,0.00003933637,0.0002363938,0.0008983705],"genre_scores_gemma":[0.9791,0.0003258187,0.01515155,0.0003101403,0.00002586751,0.004098322,0.00002242507,0.00002742016,0.0009384861],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9775693,"threshold_uncertainty_score":0.7883607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587199611760063,"score_gpt":0.2744855804957478,"score_spread":0.2386135843781472,"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."}}