{"id":"W4360605356","doi":"10.1109/icnc57223.2023.10074174","title":"A Novel Information-Directed Tree-Search Algorithm for RIS Phase Optimization in Massive MIMO","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cramér–Rao bound; Algorithm; Computer science; MIMO; Mean squared error; Tree traversal; Metric (unit); Upper and lower bounds; Tree (set theory); Pruning; Mathematics; Telecommunications; Estimation theory; Channel (broadcasting); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005479828,0.0007434127,0.0008326878,0.0006559025,0.0004375398,0.0005803995,0.001107501,0.0009265799,0.001886089],"category_scores_gemma":[0.001917046,0.0003865825,0.0004518026,0.0009021853,0.0004942756,0.0009339916,0.000876413,0.0009499292,0.0005530767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565763,"about_ca_system_score_gemma":0.001124709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697935,"about_ca_topic_score_gemma":0.002839846,"domain_scores_codex":[0.9996927,0.00008365785,0.00001576999,0.00004670439,0.0001217117,0.00003961452],"domain_scores_gemma":[0.9994687,0.0003215327,0.0000539015,0.00003735624,0.00009373651,0.00002481509],"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":[0.0001388682,0.00007695426,0.0005897455,0.0001101884,0.00004649173,0.00007484763,0.0001015127,0.7279009,0.00692169,0.0238736,0.002424288,0.237741],"study_design_scores_gemma":[0.00001905461,0.00003895286,0.00005086839,0.000005757471,0.0000051038,0.00002358832,0.000006521096,0.9937481,0.0007988542,0.004639768,0.0006591958,0.00000431301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004267138,0.0001391179,0.9944082,0.00005644899,0.00001453867,0.00002233978,0.00001819941,0.0001588322,0.0009151429],"genre_scores_gemma":[0.139579,0.0001813847,0.8579741,0.0001431727,0.00003627465,0.0001807992,0.0001392842,0.00007928267,0.001686735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001886089,"threshold_uncertainty_score":0.006309628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238008329703551,"score_gpt":0.2889599975713451,"score_spread":0.26515916460099,"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."}}