{"id":"W2325064798","doi":"10.1109/twc.2016.2542071","title":"Distributed Beamforming in Two-Way Relay Networks With Interference and Imperfect CSI","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"National Research Foundation of Korea","keywords":"Beamforming; Computer science; Computational complexity theory; Channel state information; Mathematical optimization; Transmitter power output; Relay; Signal-to-interference-plus-noise ratio; Norm (philosophy); Minification; Algorithm; Channel (broadcasting); Power (physics); Mathematics; Wireless; Telecommunications; 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":[0.000343867,0.0002167961,0.0002296983,0.0002132646,0.000605974,0.0001298512,0.001770405,0.00006028353,0.00001283133],"category_scores_gemma":[0.000009085875,0.0001588464,0.00004915045,0.0008772286,0.0002851556,0.0006587333,0.00006364548,0.0004883182,0.00001138609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479469,"about_ca_system_score_gemma":0.00006141095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004486728,"about_ca_topic_score_gemma":0.002677956,"domain_scores_codex":[0.998482,0.000356989,0.000356938,0.0003613739,0.000134692,0.0003080177],"domain_scores_gemma":[0.9963266,0.0008662743,0.0001069782,0.002449964,0.0001303814,0.0001197704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007378928,0.0005528147,0.001231554,0.000009570821,0.00008462938,0.000004367505,0.001639506,0.01989784,0.004291872,0.03291505,0.00005452615,0.9392444],"study_design_scores_gemma":[0.003490693,0.0003977977,0.003844956,0.001375304,0.00003839576,0.00008555259,0.0001655587,0.9814681,0.005727016,0.0002790442,0.00212734,0.001000194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0304544,0.0002871868,0.9648318,0.003591417,0.00008048628,0.0002566447,0.00001158872,0.0001822194,0.0003042622],"genre_scores_gemma":[0.9837552,0.005320957,0.01048759,0.0001405041,0.00000800112,0.0001782959,0.000004765538,0.00001730495,0.00008737695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9615703,"threshold_uncertainty_score":0.6477567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742796512339819,"score_gpt":0.2766118184073676,"score_spread":0.2491838532839695,"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."}}