{"id":"W3031223339","doi":"10.1109/jsyst.2020.2993048","title":"Spectral and Energy Efficiency in Cell-Free Massive MIMO Systems Over Correlated Rician Fading","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Rician fading; Channel state information; MIMO; Telecommunications link; Spectral efficiency; Maximal-ratio combining; Fading; Computer science; Beamforming; Algorithm; Transmission (telecommunications); Channel (broadcasting); Control theory (sociology); Mathematics; Mathematical optimization; Telecommunications; Wireless","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002477499,0.0003032095,0.0004956009,0.000269505,0.0001172307,0.0002053235,0.0002682054,0.0001941577,0.000007346241],"category_scores_gemma":[0.00004786998,0.0003004679,0.00006463131,0.0005071114,0.00002583938,0.0003847741,0.0000269707,0.0004937467,0.0000124822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469429,"about_ca_system_score_gemma":0.00003776983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286309,"about_ca_topic_score_gemma":0.00001407604,"domain_scores_codex":[0.9979494,0.0001430529,0.0008434007,0.0002725356,0.000295607,0.0004960634],"domain_scores_gemma":[0.9990846,0.0000695997,0.0002607607,0.0002041702,0.00007705639,0.000303842],"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":[0.00001129257,0.00001099919,0.0007337109,0.0002201995,0.00003056149,0.000210345,0.000877728,0.9870843,0.009131217,0.0001531425,0.001479266,0.00005724784],"study_design_scores_gemma":[0.001476961,0.00008110134,0.00009777915,0.0004848511,0.00002193709,0.0004829834,0.0006665429,0.9946687,0.0005031236,0.00001218097,0.00112569,0.0003780983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1564182,0.01570323,0.8082582,0.00006788782,0.009862361,0.000503503,0.00003199857,0.0004286746,0.008725892],"genre_scores_gemma":[0.9984047,0.0002227321,0.0001950905,0.00001776865,0.0008515277,0.00001512727,0.000002676424,0.00008184561,0.0002084683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8419865,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00762451152427982,"score_gpt":0.1939884444679069,"score_spread":0.1863639329436271,"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."}}