{"id":"W3013100639","doi":"10.18280/ts.370114","title":"Performance Optimization of LS/LMMSE Using Swarm Intelligence in 3D MIMO-OFDM Systems","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Swarm intelligence; MIMO-OFDM; MIMO; Orthogonal frequency-division multiplexing; Algorithm; Telecommunications; Particle swarm optimization; 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":[0.000153586,0.0001809657,0.0002641983,0.000124612,0.00003022426,0.0000204302,0.0001477323,0.00006844801,0.0000630399],"category_scores_gemma":[0.00001459039,0.0002009527,0.00003278548,0.000443549,0.00002448737,0.0003648975,0.00002276344,0.0001085373,0.000007669798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135448,"about_ca_system_score_gemma":0.00002138457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001878217,"about_ca_topic_score_gemma":0.000001906902,"domain_scores_codex":[0.9987222,0.00003491159,0.0006251268,0.0001978892,0.0001936159,0.0002262794],"domain_scores_gemma":[0.9996009,0.00002777373,0.0001130538,0.0001138726,0.00007007612,0.00007431858],"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":[0.00002089191,0.00002071296,0.000842796,0.0004713799,0.00001646034,0.000002616249,0.0008503296,0.9921839,0.004889725,0.00004445228,0.00001196265,0.0006447196],"study_design_scores_gemma":[0.0002732629,0.00006551814,0.00005024194,0.0002109078,0.00001356191,0.000003358568,0.0002455293,0.9934776,0.005431298,8.843642e-7,0.00004300269,0.0001848519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07882496,0.0002798417,0.9196559,0.00001140303,0.0001851764,0.0004556424,0.000009468316,0.0001324344,0.0004451562],"genre_scores_gemma":[0.9690558,0.00008498577,0.03064722,0.00001565365,0.0001076252,0.00002440667,0.00001935459,0.00003990809,0.000004996789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902309,"threshold_uncertainty_score":0.8194613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475339839844716,"score_gpt":0.2268469449451936,"score_spread":0.2020935465467465,"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."}}