{"id":"W4389747929","doi":"10.1109/access.2023.3343250","title":"Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource allocation; Scheduling (production processes); Wireless; Computer network; Wireless network; Mobile broadband; Wireless broadband; Distributed computing; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939567,0.00009861686,0.0001769097,0.0001611602,0.0000371983,0.00003091992,0.0006202969,0.0000930597,7.383189e-7],"category_scores_gemma":[0.00003560895,0.0001078631,0.00001483175,0.000651534,0.00006025048,0.000275017,0.00009291763,0.0001065942,0.000001415794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003104402,"about_ca_system_score_gemma":0.000005476213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160245,"about_ca_topic_score_gemma":0.0008487768,"domain_scores_codex":[0.9993342,0.00003152798,0.0002401319,0.0001418084,0.00007657819,0.0001757094],"domain_scores_gemma":[0.9990391,0.000420376,0.00006928025,0.0003998449,0.00005264303,0.00001879812],"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":[0.00004073888,0.00002268738,0.05545523,0.0006292429,0.00002742527,0.000001142843,0.0004351276,0.8838028,0.002835902,0.0006515319,0.0004327878,0.0556654],"study_design_scores_gemma":[0.0004404722,0.00002154424,0.1568585,0.0001981564,0.000003987467,7.757013e-7,0.0004602943,0.8193047,0.02074394,0.0009168329,0.0008166427,0.0002341564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678935,0.0004411862,0.03062435,0.00006289878,0.00006183676,0.0002760095,0.0000221763,0.0005246888,0.00009336288],"genre_scores_gemma":[0.998315,0.001072988,0.0003543795,0.00001611832,0.00001094915,0.0001293634,0.00006351857,0.00002529516,0.00001233392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1014033,"threshold_uncertainty_score":0.4398529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433289280568703,"score_gpt":0.3213991723854659,"score_spread":0.2770662795797789,"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."}}