{"id":"W4312051168","doi":"10.1109/tcomm.2022.3217575","title":"Constellation Design for Multiuser Non-Coherent Massive SIMO Based on DMPSK Modulation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Agencia Estatal de Investigación; Secretaría de Estado de Investigación, Desarrollo e Innovación; HORIZON EUROPE Marie Sklodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Computer science; Bit error rate; Algorithm; Phase-shift keying; Keying; Channel (broadcasting); Constellation; Modulation (music); Reduction (mathematics); Theoretical computer science; Computer engineering; Decoding methods; Mathematics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002064048,0.0002040066,0.0001790175,0.0003013786,0.0008920145,0.00003098836,0.0003742967,0.00007461923,0.0001184549],"category_scores_gemma":[0.000006156482,0.0002525114,0.0001128334,0.0004032484,0.00004527593,0.0001660413,0.000003442636,0.0003401693,0.00002222796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005082681,"about_ca_system_score_gemma":0.00004901622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000099511,"about_ca_topic_score_gemma":0.00001840757,"domain_scores_codex":[0.99885,0.0001573146,0.0003782327,0.0002217589,0.0001908178,0.0002018522],"domain_scores_gemma":[0.9977481,0.0007812655,0.00009969647,0.001203631,0.0001052115,0.00006210466],"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":[0.00004982115,0.0001822403,0.000002556298,0.00001758647,0.00003276151,1.421756e-7,0.0002034305,0.9897282,0.002371912,0.00006088943,0.0002761552,0.007074289],"study_design_scores_gemma":[0.0009439252,0.000149549,0.00001190974,0.00002801079,0.00003973731,0.00000105575,0.0001775673,0.9913819,0.005335724,0.0001154676,0.001576921,0.0002382002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002821915,0.00002858269,0.994871,0.0002788185,0.0005236748,0.001881499,0.0002139923,0.0003999712,0.001520253],"genre_scores_gemma":[0.9339795,0.00003246383,0.06446549,0.00007531101,0.00001828326,0.001098225,0.0001433561,0.00007674248,0.0001106191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9336973,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386517941842689,"score_gpt":0.2640161425969967,"score_spread":0.2253643484127278,"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."}}