{"id":"W2962798347","doi":"10.1109/twc.2016.2573835","title":"Power Allocation for Multi-Pair Massive MIMO Two-Way AF Relaying With Linear Processing","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Spectral efficiency; Upper and lower bounds; Beamforming; Topology (electrical circuits); Fading; Mathematics; Transmission (telecommunications); Maximal-ratio combining; MIMO; Channel state information; Relay channel; Signal-to-noise ratio (imaging); Computer science; Control theory (sociology); Channel (broadcasting); Mathematical optimization; Telecommunications; Power (physics); Wireless","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":[0.0006660948,0.0007423189,0.0005210303,0.0002905656,0.000354345,0.0007471311,0.000645369,0.0006500432,0.001195146],"category_scores_gemma":[0.001886089,0.0003085019,0.0003081964,0.0004862341,0.0006162223,0.0009464771,0.0007032228,0.0004485928,0.000359263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580925,"about_ca_system_score_gemma":0.0004160941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008346277,"about_ca_topic_score_gemma":0.001097217,"domain_scores_codex":[0.9994086,0.0002943322,0.00002044466,0.00008087207,0.0001250447,0.00007065354],"domain_scores_gemma":[0.9993279,0.0004424818,0.00008421847,0.00004645143,0.0000776255,0.00002129502],"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":[0.0001317674,0.00006533496,0.0004247741,0.0001041395,0.00004000223,0.0002910134,0.000120825,0.9218603,0.01017111,0.02742836,0.0006277844,0.0387346],"study_design_scores_gemma":[0.000007638761,0.00004075772,0.00006400939,0.000002887627,0.000005348922,0.00004341874,0.00001369628,0.9944054,0.0006777268,0.004510922,0.0002239109,0.000004353564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04300095,0.0005251155,0.9512937,0.0001931838,0.00003275272,0.00003219033,0.00003290518,0.0001089443,0.004780162],"genre_scores_gemma":[0.9431494,0.0003208921,0.05416991,0.00006067644,0.00004454378,0.00006413527,0.00002151094,0.00001598554,0.002153004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001195146,"threshold_uncertainty_score":0.004214883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125042082493675,"score_gpt":0.3148754679688066,"score_spread":0.2536250471438699,"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."}}