{"id":"W4206500352","doi":"10.1109/access.2021.3135003","title":"QoS-Aware Hybrid Beamforming With Minimal Power in mmWave Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Beamforming; MIMO; Quality of service; Baseband; Transmitter power output; Precoding; Electronic engineering; Computer network; Real-time computing; Bandwidth (computing); Telecommunications; Channel (broadcasting); Engineering; Transmitter","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000885988,0.0001724046,0.0002211205,0.000123625,0.00004269135,0.0001693747,0.0001722022,0.00005423172,0.0000697304],"category_scores_gemma":[0.00001148136,0.0001613941,0.00003606355,0.0002138796,0.00001376225,0.0003985239,0.00003770264,0.0001846545,0.00002331591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008325223,"about_ca_system_score_gemma":0.0000428857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004553956,"about_ca_topic_score_gemma":0.0000630219,"domain_scores_codex":[0.9989716,0.00002360558,0.0002800011,0.0002387113,0.0001921912,0.0002939075],"domain_scores_gemma":[0.999514,0.00003419835,0.00004265708,0.0002244949,0.0001064921,0.00007814552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005462658,0.00007942733,0.002688187,0.0006868655,0.0001747171,0.001206104,0.001632532,0.9212102,0.06773069,0.000039788,0.00214954,0.002347275],"study_design_scores_gemma":[0.001307212,0.00005712112,0.0004807803,0.0006740388,0.00003781477,0.0001794631,0.001280153,0.4574678,0.5357389,0.00003896569,0.001946694,0.000791031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8079182,0.0003818828,0.1878487,0.00003269904,0.000883622,0.0001698897,0.00001837025,0.0001221011,0.002624547],"genre_scores_gemma":[0.9989669,0.0000340567,0.0005328808,0.00007350731,0.0001279983,0.00004105923,0.00001987498,0.00004572993,0.000157937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4680083,"threshold_uncertainty_score":0.658146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240906687164032,"score_gpt":0.2443598910622377,"score_spread":0.2219508241905974,"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."}}