{"id":"W4353100311","doi":"10.18280/ts.400136","title":"Initialization of an Iterative Low-Complexity Method for Signal Precoding in MM-Wave Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precoding; Initialization; MIMO; Computer science; SIGNAL (programming language); Algorithm; Iterative method; Electronic engineering; Telecommunications; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899455,0.0005828086,0.0004575782,0.0002772903,0.0002744536,0.0004845331,0.0005867156,0.0006530256,0.002254907],"category_scores_gemma":[0.001699931,0.0001963859,0.0003918215,0.0002990504,0.0004739056,0.0004336803,0.0006587683,0.0008091503,0.0006137932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425131,"about_ca_system_score_gemma":0.0008645774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407503,"about_ca_topic_score_gemma":0.001602825,"domain_scores_codex":[0.9997351,0.000105561,0.00001407398,0.0000307698,0.00008834062,0.00002622627],"domain_scores_gemma":[0.999576,0.0002154228,0.0000437946,0.00004118236,0.0001041581,0.00001940053],"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":[0.000182002,0.00007092521,0.0006975155,0.0002511749,0.00003686636,0.0001550655,0.000259494,0.8251256,0.01992686,0.04405507,0.001943695,0.1072957],"study_design_scores_gemma":[0.000009057336,0.00003765122,0.00006911903,0.000007148588,0.000002792271,0.00002627554,0.00001215622,0.9947695,0.002414616,0.001667039,0.0009783676,0.000006269287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005564174,0.0000630038,0.9927509,0.00004734232,0.00002273247,0.00002347305,0.00001334699,0.0001185038,0.001396499],"genre_scores_gemma":[0.2283056,0.0002173959,0.7675459,0.00007885973,0.00004727071,0.0002077334,0.0001180319,0.0001119966,0.003367229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002254907,"threshold_uncertainty_score":0.007543385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06409647694153504,"score_gpt":0.2868225339992267,"score_spread":0.2227260570576917,"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."}}