{"id":"W4386600139","doi":"10.1007/s11277-023-10615-w","title":"Energy Efficient Multi-Way Massive Mimo AF Relaying with Imperfect CSI and Optimal Power Allocation","year":2023,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Relay; MIMO; Channel state information; Transmitter power output; Maximal-ratio combining; Efficient energy use; Transmission (telecommunications); Channel (broadcasting); Mathematical optimization; Power (physics); Topology (electrical circuits); Telecommunications; Wireless; Fading; Mathematics; Electrical engineering; Transmitter; Physics","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":[0.0004491434,0.0002219049,0.0002079696,0.000230239,0.00125204,0.0002452168,0.00173674,0.00007776453,0.00001281158],"category_scores_gemma":[0.00003730062,0.0002032685,0.0000630261,0.001197289,0.0002933608,0.0002967718,0.001492446,0.0003465143,0.00003872016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009895666,"about_ca_system_score_gemma":0.0001185457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003816242,"about_ca_topic_score_gemma":0.0001655875,"domain_scores_codex":[0.9983088,0.0003837522,0.0002704331,0.0004180871,0.000281337,0.0003375314],"domain_scores_gemma":[0.9971375,0.0004952073,0.0001403646,0.001783684,0.0002977199,0.000145528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000875694,0.0009720782,0.00248028,0.00005010749,0.000398402,0.00002885682,0.05762751,0.01324194,0.03207854,0.6967615,0.002422422,0.1938508],"study_design_scores_gemma":[0.0005620764,0.00008068126,0.005032941,0.00009406816,0.00001326812,0.00002097876,0.001006758,0.987195,0.0003486308,0.00002015758,0.005313715,0.0003117773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4631642,0.004454819,0.5043221,0.02249228,0.0001834149,0.0005693304,0.00001922474,0.001106058,0.003688549],"genre_scores_gemma":[0.9773022,0.002529576,0.01918253,0.0003118331,0.00001538919,0.0001575089,0.00005630988,0.00002483786,0.0004198462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973953,"threshold_uncertainty_score":0.9629809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905770220564649,"score_gpt":0.2825661492631398,"score_spread":0.2435084470574933,"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."}}