{"id":"W3039424145","doi":"10.1109/jsac.2020.3005492","title":"Performance Analysis of 5G Mobile Relay Systems for High-Speed Trains","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; ZTE Corporation","keywords":"Relay; Fading; Computer science; Relay channel; Computer network; Bit error rate; Base station; Bottleneck; Channel (broadcasting); Wireless; Telecommunications; Embedded system","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":[0.001303043,0.001274496,0.0008632758,0.0007912193,0.0006017683,0.001358183,0.0007778999,0.0009201356,0.002678201],"category_scores_gemma":[0.004314874,0.000299923,0.0007029002,0.0009975762,0.0007970573,0.001199559,0.0008111433,0.0007212895,0.0005170514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091418,"about_ca_system_score_gemma":0.0009389217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00763225,"about_ca_topic_score_gemma":0.005118421,"domain_scores_codex":[0.9987055,0.000500663,0.00004196652,0.0001504772,0.0003380001,0.0002634083],"domain_scores_gemma":[0.9973827,0.001279149,0.0003989541,0.0001131274,0.0007703902,0.00005575367],"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":[0.0001693814,0.00002710668,0.00189395,0.0001920062,0.00007164784,0.0003542716,0.0001669684,0.9637641,0.007284473,0.01668015,0.0009496311,0.00844619],"study_design_scores_gemma":[0.000003169326,0.00009836023,0.0009284276,0.00001605014,0.00002780878,0.0001321748,0.00007435234,0.9962091,0.0009601096,0.001177686,0.0003592668,0.00001337507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4735121,0.009323236,0.4754047,0.001501975,0.0001744559,0.0001747105,0.0007779077,0.0006594456,0.03847136],"genre_scores_gemma":[0.9939612,0.001203529,0.003253449,0.0000443226,0.00003755424,0.00002953606,0.00008841771,0.00002426962,0.001357754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00763225,"threshold_uncertainty_score":0.01517564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953153919983912,"score_gpt":0.2706296708048743,"score_spread":0.2410981316050352,"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."}}