{"id":"W4389664931","doi":"10.1109/jiot.2023.3341613","title":"Understanding Inter- and Intra-Cluster Concurrent Transmissions for IoT Uplink Traffic in MIMO-NOMA Networks: A DTMC Analysis","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Norway Grants","keywords":"Computer science; Telecommunications link; Noma; Computer network; Markov chain; Network packet; Throughput; Distributed computing; Channel (broadcasting); Markov process; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008379706,0.0007825926,0.0007238204,0.0007529153,0.0005759427,0.0009899479,0.000936815,0.001040713,0.002068674],"category_scores_gemma":[0.00353292,0.0004404541,0.0007022915,0.0006695693,0.001024252,0.001239511,0.0006995054,0.001223214,0.0002429225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202949,"about_ca_system_score_gemma":0.001486601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872592,"about_ca_topic_score_gemma":0.00970475,"domain_scores_codex":[0.9995742,0.00008917959,0.00001313302,0.00006333298,0.0001225823,0.0001375341],"domain_scores_gemma":[0.998006,0.001250066,0.0002774669,0.00008163077,0.0002899772,0.00009491648],"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":[0.00001829929,0.00002218158,0.0005803407,0.00001952454,0.00001062164,0.000105779,0.00006348832,0.9696245,0.001174663,0.02669971,0.0002181324,0.001462753],"study_design_scores_gemma":[0.000001075199,0.00000450635,0.00007828607,0.000002447211,0.000003281251,0.0000116608,0.000007992889,0.9982138,0.0001300845,0.001464322,0.00008009161,0.000002589122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1549914,0.000947798,0.8286375,0.0009535188,0.00009449213,0.0001427341,0.0003183673,0.0002464284,0.0136678],"genre_scores_gemma":[0.9828206,0.0006670227,0.01251568,0.0001098408,0.0000561363,0.0001058458,0.00008655817,0.00004143197,0.003596867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01872592,"threshold_uncertainty_score":0.03723389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891198075667674,"score_gpt":0.2863320095630493,"score_spread":0.2274200288063726,"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."}}