{"id":"W3169625401","doi":"10.21203/rs.3.rs-603015/v1","title":"BB-DCA Based Adaptive Beam Forming for Wireless Communication System","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Computer science; MIMO; Branch and bound; Channel state information; Channel (broadcasting); Telecommunications link; Heuristic; Channel allocation schemes; Multipath propagation; Mathematical optimization; Fading; Interference (communication); Upper and lower bounds; Optimization problem; Wireless; Algorithm; Mathematics; Computer network; Telecommunications","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":[0.0003604729,0.0004104853,0.0004593213,0.0003178356,0.0005210208,0.0006849983,0.0006058389,0.0006011993,0.003408726],"category_scores_gemma":[0.0006361654,0.0001945243,0.0003353188,0.0006315248,0.0003855704,0.0005074876,0.0005581005,0.0005451296,0.001033767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977572,"about_ca_system_score_gemma":0.0005521472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208578,"about_ca_topic_score_gemma":0.002060886,"domain_scores_codex":[0.9994187,0.0002113083,0.00001969624,0.00009819929,0.0002061981,0.00004589105],"domain_scores_gemma":[0.9996926,0.0001030554,0.00004446197,0.00003531563,0.0001055595,0.00001908003],"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":[0.0007242953,0.0002481157,0.002825205,0.0003110357,0.000129551,0.000284895,0.0002754249,0.5509046,0.0899073,0.02462373,0.007979275,0.3217866],"study_design_scores_gemma":[0.000036866,0.0001968942,0.0004244472,0.00002456737,0.00002644622,0.0001686486,0.00002983342,0.9791337,0.01163129,0.002212889,0.006096166,0.00001839548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02304832,0.0006139214,0.9640807,0.0002867125,0.0001213539,0.00007704711,0.00005732643,0.0006932892,0.01102129],"genre_scores_gemma":[0.7689647,0.0006249918,0.2193431,0.000226327,0.00006597136,0.0001846473,0.0001332941,0.00002981612,0.01042708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003408726,"threshold_uncertainty_score":0.01140332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07639054623623882,"score_gpt":0.3755263595690344,"score_spread":0.2991358133327955,"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."}}