{"id":"W4410114773","doi":"10.1109/twc.2025.3565472","title":"Physically-Consistent Multi-Band Massive MIMO Systems: A Radio Resource Management Model","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; MIMO; Radio resource management; Telecommunications; Resource management (computing); Wireless; Computer network; Wireless network; Channel (broadcasting)","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":[0.000746051,0.0008162336,0.0008917518,0.0003750553,0.000508983,0.001659158,0.001578968,0.001728059,0.003631299],"category_scores_gemma":[0.001448155,0.0005604834,0.0007195954,0.0007903433,0.001386382,0.001590665,0.001272797,0.001311776,0.0007422921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119114,"about_ca_system_score_gemma":0.0007891768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00445254,"about_ca_topic_score_gemma":0.003027043,"domain_scores_codex":[0.9996283,0.0001341316,0.00001069284,0.00005790868,0.0001020229,0.00006692445],"domain_scores_gemma":[0.99926,0.0003692256,0.000142684,0.00006335843,0.0001095924,0.00005508047],"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":[0.00001534769,0.00002158394,0.0002217124,0.00002289682,0.00001505394,0.00008055355,0.00003227304,0.9463835,0.0007477585,0.05050245,0.0006612471,0.001295555],"study_design_scores_gemma":[0.000005541449,0.000008564824,0.00006025277,0.000002415875,0.000003313753,0.00001133251,0.00000947801,0.9930414,0.0000406679,0.006594685,0.0002178629,0.000004452934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04356552,0.000996688,0.917604,0.001542177,0.0001522838,0.00007079016,0.0003593164,0.00021893,0.03549024],"genre_scores_gemma":[0.9453613,0.001057738,0.03365519,0.000568066,0.0001739955,0.0002200577,0.0002070737,0.00009945554,0.018657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00445254,"threshold_uncertainty_score":0.0121479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008811273254939,"score_gpt":0.2515701272982638,"score_spread":0.2314820145657144,"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."}}