{"id":"W4386285235","doi":"10.18280/mmep.100413","title":"Enhancing Multi-User Detection in Multicarrier 5G and Beyond: A Space-Time Spreading Approach with Parallel Interference Cancellation","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interference (communication); Single antenna interference cancellation; Computer science; Space (punctuation); Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355385,0.0001501667,0.0002017268,0.0002088159,0.00008033888,0.0001662012,0.0002192591,0.00007447883,8.475951e-7],"category_scores_gemma":[0.00003343842,0.0001306528,0.00001490202,0.0004743513,0.00003382489,0.0002493483,0.0001533113,0.0002840678,0.000007751408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003987859,"about_ca_system_score_gemma":0.00001175102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917331,"about_ca_topic_score_gemma":0.000009342811,"domain_scores_codex":[0.9989083,0.00003598992,0.0002359407,0.0003231024,0.0001715549,0.0003250864],"domain_scores_gemma":[0.9992761,0.0002479975,0.0000362165,0.0003021979,0.00003526276,0.0001022366],"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":[0.00000369083,0.00001974946,0.00002431574,0.0002276079,0.000008575767,0.000001159576,0.002489058,0.989913,0.002551076,0.003321624,6.962313e-7,0.001439439],"study_design_scores_gemma":[0.0002584947,0.00002571253,0.00004095205,0.0002898247,0.000003028296,0.000009065481,0.00004129346,0.9976584,0.0005201945,0.0009802518,0.00001413635,0.0001585974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05608599,0.0001054364,0.943112,0.0001069564,0.00001247481,0.0002504967,2.60051e-7,0.0002304013,0.00009596128],"genre_scores_gemma":[0.7198654,0.00007508349,0.279832,0.000002624904,0.000007569054,0.00007997708,0.000001149364,0.00001637326,0.0001197108],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6637795,"threshold_uncertainty_score":0.5327865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857956368977119,"score_gpt":0.2347376109126394,"score_spread":0.2061580472228683,"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."}}