{"id":"W4377001549","doi":"10.1109/tcomm.2023.3277041","title":"Power Allocation for Adaptive-Connectivity Wireless Networks Under Imperfect CSI","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Research Foundation of Korea","keywords":"Computer science; MIMO; Channel state information; Transmitter power output; Transmission (telecommunications); Power control; Wireless; Channel (broadcasting); Throughput; Wireless network; Computer network; Signal-to-noise ratio (imaging); Interference (communication); Real-time computing; Power (physics); Transmitter; 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":[0.0005097645,0.0007602869,0.000614491,0.000427661,0.0005018571,0.0006853029,0.001297041,0.0005511818,0.001454304],"category_scores_gemma":[0.002566056,0.0002479451,0.0002394294,0.0005791528,0.0006670268,0.0009775977,0.0007320965,0.0005966227,0.0002107494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006007391,"about_ca_system_score_gemma":0.0005413961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633192,"about_ca_topic_score_gemma":0.001939443,"domain_scores_codex":[0.9995055,0.0001262686,0.00002864084,0.0001284436,0.0001264896,0.00008459344],"domain_scores_gemma":[0.9989991,0.0006167583,0.000127546,0.00007751786,0.0001430342,0.00003612707],"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":[0.0001078582,0.00007262729,0.0008849941,0.0000788664,0.00003186852,0.0001333534,0.0001114777,0.8664806,0.005022754,0.01368707,0.001524579,0.111864],"study_design_scores_gemma":[0.00001016788,0.00003581867,0.0001361095,0.000003841923,0.000005606879,0.00005071007,0.0000123479,0.9950477,0.0005372099,0.003744422,0.0004119068,0.000004195963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01645677,0.000224352,0.9810671,0.0001102326,0.00003151227,0.00004414548,0.0000162572,0.0001641352,0.001885542],"genre_scores_gemma":[0.8841552,0.0002138636,0.1139427,0.000110768,0.00006826541,0.00009571407,0.00004309003,0.00003637698,0.001334071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001633192,"threshold_uncertainty_score":0.00486511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860368714232708,"score_gpt":0.2676376317139196,"score_spread":0.2390339445715925,"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."}}