{"id":"W2903884281","doi":"10.1109/twc.2020.2997290","title":"Performance Analysis of Massive MIMO Multi-Way Relay Networks With Low-Resolution ADCs","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Singular value decomposition; Quantization (signal processing); MIMO; Computer science; Gaussian; Relay; Topology (electrical circuits); Algorithm; Channel state information; Channel (broadcasting); Control theory (sociology); Mathematics; Electronic engineering; Power (physics); Telecommunications; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709419,0.001046463,0.0008521228,0.0005688754,0.0004040449,0.001278825,0.000919258,0.0008248829,0.001240192],"category_scores_gemma":[0.00579984,0.0003526113,0.0003718249,0.0006544063,0.001081418,0.001467295,0.0010628,0.0006838307,0.0003147322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161727,"about_ca_system_score_gemma":0.00051483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663237,"about_ca_topic_score_gemma":0.001269045,"domain_scores_codex":[0.9988129,0.0004844989,0.00004487932,0.0001505775,0.0003208043,0.0001863755],"domain_scores_gemma":[0.9960818,0.002593604,0.0004062203,0.0003131792,0.0005210246,0.00008426492],"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":[0.0001507136,0.00002883436,0.0007115632,0.0001263269,0.00003988876,0.0002352763,0.00010055,0.9447476,0.009079874,0.03519169,0.0003593633,0.009228308],"study_design_scores_gemma":[0.000004844521,0.00006460599,0.0002170308,0.000009789329,0.00001177244,0.00009497245,0.00002931576,0.9934273,0.001994785,0.003987411,0.0001478389,0.00001030413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2402167,0.002549428,0.741115,0.0006177247,0.00005978253,0.00006273316,0.0002187217,0.0004033553,0.01475645],"genre_scores_gemma":[0.9885943,0.0005207972,0.009800111,0.00003580908,0.00002320818,0.00002471497,0.00003471814,0.00001259227,0.0009537752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001709419,"threshold_uncertainty_score":0.009040356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064919160143769,"score_gpt":0.2853570181410789,"score_spread":0.2347078265396413,"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."}}